From: rick@cs.arizona.edu (Rick Schlichting)
Newsgroups: comp.research.japan,comp.ai.neural-nets,comp.ai
Subject: Kahaner Report: 2nd Int Conf on Fuzzy Logic & Neural Nets
Date: 22 Dec 92 16:15:10 GMT
Followup-To: comp.research.japan


  [Dr. David Kahaner is a numerical analyst on sabbatical to the 
   Office of Naval Research-Asia (ONR Asia) in Tokyo from NIST.  The 
   following is the professional opinion of David Kahaner and in no 
   way has the blessing of the US Government or any agency of it.  All 
   information is dated and of limited life time.  This disclaimer should 
   be noted on ANY attribution.]

  [Copies of previous reports written by Kahaner can be obtained using
   anonymous FTP from host cs.arizona.edu, directory japan/kahaner.reports.]

To: Distribution
From: 
 David K. Kahaner
 US Office of Naval Research Asia
 (From outside US):  23-17, 7-chome, Roppongi, Minato-ku, Tokyo 106 Japan
 (From within  US):  Unit 45002, APO AP 96337-0007
  Tel: +81 3 3401-8924, Fax: +81 3 3403-9670
  Email: kahaner@cs.titech.ac.jp
Re: 2nd Int Conf on Fuzzy Logic & Neural Nets (Iizuka'92) 8/92, Japan
22 Dec 1992
This file is named "iizuka.92"

ABSTRACT. Titles from the 2nd International Conference on Fuzzy Logic
and Neural Networks (IIZUKA'92), held July 17-22 1992, in Iizuka Japan
are given.

This large symposium was part of an extensive week of information
technology symposia held at the Kyushu Institute of Technology, in the
city of Iizuka, Japan. For further information about the other symposia
see my reports, ("iskit.92", 21 Sept 1992) and (fuzzy.92, 22 Dec 1992).

Further information can be obtained from 
   Secretariat, ISKIT'92
   Faculty of Computer Science and Systems Engineering
   Kyushu Institute of Technology
   680-4 Kawazu, Iizuka, Fukuoka 820, Japan
    Tel: +81 948-29-7502; Fax: +81 948-29-7517
    Email: ISKIT@KURI.CES.KYUTECH.AC.JP



PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON FUZZY LOGIC AND NEURAL
NETWORKS [IIZUKA' 92]
July 17-22, 1992
                                          CONTENTS

          (OPENING LECTURES)

 1.  Interpolative Reasoning as a Common Basis for Inference in Fuzzy Logic,
     Neural Network  :  Theory and the Calculus of Fuzzy If-Then Rules
     Prof. Lotfi A. Zadeh
     University of California, Berkeley (U.S.A.)

 2.  The Physiology of Perception  :  Functional Architectures of Biological
     Sensorimotor control Systems
     Prof. Walter J, Freeman
     University of California, Berkeley (U.S.A.)

 3. Towards Developing a Human-like Computer
     Prof.  Gen Matsumoto
     Electrotechnical Laboratory (Japan)

 PLENARY LECTURES

 I.  Genetic Algorithms, Neural Networks and Fuzzy Logic Systems
      Prof.  Elie Sanchez
      Institut Mediterraneen de Technologie (France)

 2. Chaos in Fuzzy Systems and Signals
     Prof.  Horia-Nicolai Teodorescu
     Polytechnic Institute of Iasi (Romania)

 3. Chaos and Fuzzy Representations of Dynamical Systems
     Prof.  Phil Diamond
     University of Queensland (Australia)

 4. Adaptive  Fuzzy  Systems
     Prof.  Bart Kosko
     University of Southern California (U.S.A.)

 5. Functional  Chaotic  Devices
     Dr. Peter Davis
     ATR Optical and Radio Communications Research Laboratories (Japan)

 6. Adaptive Models for the Defuzzification Process
     Prof.  Ronald R. Yager
     Iona College (U.S.A.)

 INVITED/ORDINARY SESSIONS

FUZZY NEURAL NETWORKS PART I (INVITED)
     Organizer : James J. Buckley
      The University of Alabama, Birmingham (U.S.A.)

1.  Direct Fuzzification of Neural Network and Fuzzified Delta Rule
     Yoichi Hayashi*, James J. Buckley** and Ernest Czogala***
     *  Ibaraki University (Japan)
     **  The University of Alabama, Birmingham (U.S.A.)
    ***Technical University of Silesia (U.S.A.)

 2.  Two-Degree-of-Freedom Fuzzy Model using Associative Memories
     Toru Yamaguchi, Kenji Goto and Tomohiro Takagi
     Laboratory for International Fuzzy Engineering Research (Japan)

 3.  Learning in Fuzzy Neural Networks Utilizing Additive Hybrid Operators
     James M. Keller and Zhihong Chen
     University of Missouri-Columbia (U.S.A.)

 4.  Approximations Between Nets, Controllers, Expert Systems and
     Processes
     James J. Buckley
     The University of Alabama, Birmingham (U.S.A.)

 A-2   FUZZY NEURAL METWORKS   PART 11

 1.  Automatic Control of Sewerage Pumpstation by Using Fuzzy Controls
     and  Neural  Networks
     Hong Chen, Masaharu Mizumoto and Yun-fei Ling
     Osaka Electro-Communication University (Japan)

 2.  Learning of Expert's Knowledge by Neural Network and Deduction of
     Fuzzy Rules by Powell's Method
     Hiroshi Isshiki and Hideichi Endo
     Hitachi Zosen Corp. (Japan)

 3.  Knowledge Implementation Multilayer Neural Networks with Fuzzy
     Logic
     Hiroyuki Okada*, Nobuo Watanabe*, Akira Kawamura* and Kazuo Asakawa*,
     Tetsuo Taira**, Katsuyo Ishida**, Tohm Kaji*** and Masataka Narita***
     *  Fujitsu Laboratories Ltd.(Japan)
     ** The Nikko Research Center, Ltd.
     ***The Nikko System Center, Ltd.

 4.  An Emotion Processing System Based on Fuzzy Inference and Its
     Subjective Observations
     Torao Yanaru, Toyohiko Hirota and Naoki Kimura
     Kyushu Institute of Technology (Japan)

 A-3    FUZZY NEURAL NETWORKS   PARIT III

 1.  Very Fuzzy Cognitive Maps
     Julio Rives and Rafael Pereira
     INISEL (Spain)

 2.  Construction Theory for a Subjective Observation Model Based on Affine
     Mapping and Its Application to Neural Networks
     Torao Yanaru, Toyohiko Hirota and Masahiro Siraha
     Kyushu Institute of Technology (Japan)

 3.  Fuzzy Simulation of a Chemical Reactor by an Artificial Neural
     Network
     A. Bulsari and A. Krastawski
     Lappeenranta University of Technology (Finland)

 4.  Fuzzy Logic and Neural Networks for Quantitative Chemical Analysis

 (Invited)
    Matthias Otto
    Bergakademie Freiberg (Germany)

A-4  FUZZY NEURAL NETWORKS    PART IV

1.  Learning Mechanism and an Application of FFS-Network Reasoning Systems
    M. Tokunaga, K. Kohno, Y. Hashizume, K. Hamatani, M. Watanabe,
    K. Nakamura and Y. Ageishi
    AdIn Research, Inc. (Japan)

2.  Fuzzy Network Production System - Fuzzy Filtered Synapse Network and
    Intensive Learning by Accumulated Fuzzy Indication
    Ken Nakamura, Toshihide Fujimaki, Ryuji Horikawa and Youichi Ageishi
    AdIn Research, Inc. (Japan)

3.  Architecture and Training of a Hybrid Neural-Fuzzy System
    Lee A. Feldkamp, G. V. Puskorius, F. Yuan and L. I. Davis, Jr.
    Ford Motor Company (U.S.A.)

4.  Approximation between Fuzzy Expert Systems and Neural Networks
    Yoichi Hayashi*, James J. Buckley** and Emest Czogala***
    * Ibaraki University (Japan)
    ** The University of Alabama, Birmingham (U.S.A.)
    ***Technical University of Silesia (U.S.A.)

A-5  CHAOTIC FUZZY SYSTEMS

 1. Hierarchical and Recurrent Networks of Fuzzy Models
    Hidetomo Ichihashi
    University of Osaka Prefecture (Japan)

 2. Transitions of Fuzzy Number through Nonlinear Dynamical Systems
 (Invited)
    Takeshi Yamakawa, Eiji Uchino, Tsutomu Miki and Tomokazu Nakamura
    Kyushu Institute of Technology (Japan)

 3. New Mechanism to Transfer Schemata Caused by Transfer Crises
    Kazuo Sakai*, Tsuyoshi Katayama**, Kotaro Oiwa*** and Satoshi Wada*
    * Meiji University (Japan)
    **Japan Automobile Research Institute, Inc. (Japan)
    ***Oita University (Japan)

 4. Chaotic Fuzzy Models in Economy
    J. Gil Aluja*, Horia-Nicolai Teodorescu**, A. M. Gil Lafuente*
    and Al. P. Tacu*
    * University of Barcelona (Spain)
    ** Polytechnic Institute of Iasi (Romania)
    ***Center for Economic Studies (Romania)

 A-6  FZZY NEURAL COMPUTING SYSTEMS   PART I (INVITED)
    Organizer : Madan M. Gupta
    University of Saskatchewan (Canada)

1.   Fuzzy Logic and Neural Networks
     Madan M. Gupta
     University of Saskatchewan (Canada)

2.   Computation and Learning Paradigms for Biologically Inspired             
     Intelligent Computing  
     Panos A. Ligomenides
     University of Maryland (U.S.A.)

3.   Chaotic Neural Networks and Their Possible Application to Biological
     System Modeling   
     M. Bodruzzaman and Mohan J. Malkani
     Tennessee State University (U.S.A.)

4.   On Fuzzy Structures:  Sets, Relations and Graphs   
     Kiran R. Bhutarni
     The Catholic University of America (U.S.A.)

A-7  FUZZY NEURAL COMPUTING SYSTEMS    PART  II  (INVITED)
     Organizer : Madan M. Gupta
     University of Saskatchewan (Canada)

 1.  Synaptic and Somatic Adaptations in Dynamic Neural Networks    
     Madan M. Gupta and D. H. Rao
     University of Saskatchewan (Canada)

 2.  Neurocomputing and Infinite-valued Logic   
     Djuro Koruga and Stuart Hameroff
     University of Arizona (U.S.A.)

 3.  Neural Network Learning by Tolerance Optimization 
     Vaclav Sebesta and Mirko Novak
     Institute of Computer and Information Science (U.S.A.)

 4.  A Learning Method of Fuzzy Inference Rules with Neural Networks
     and its Application    
     Masao Mukaidono and Masato Yamaoka
     Meiji University (Japan)
 
A-8   NEURAL NETWORKS AND FUZZY DYNAMICS   (INYITED)
      Organizer :  Yee Leung
      The Chinese University of Hong Kong (Hong Kong)

 1.  Inference Network for Optimization Applications 
     K. P. Lam* and C. J. Su**
     * The Chinese University of Hong Kong (Hong Kong)
     **The University of British Columbia (Canada)

 2.  Logical Processing with Perceptrons 
     Yee Leung* and Zhiqiao Wu**
     * The Chinese University of Hong Kong (Hong Kong)
     **Shenzhen University (China)

 3.  Modeling of Fuzzy Dynamics : A Differential-Geometric Approach
     C. P. Kwong
     The Chinese University of Hong Kong (Hong Kong)

 4.  Rule Learning in Expert Systems using Genetic Algorithm
     1. Concepts  
     2. Empirical Studies  
     Kwong Sak Leung*, Yee Leung*, Leo So** and Kin Fai Yam*
     The Chinese University of Hong Kong (Hong Kong)
     University of Arizona (U.S.A.)

A-9  NEURAL NETS AND FUZZY SYSTEMS   PART I (INVITED)
     Organizer : Armando F. Rocha
     Universidade Estadual de Campinas (Brazil)

 1.  A Neuro-Fuzzy Inference System Designed for Implementation on a Neural
     Chip 
     P. Y. Glorennec
     Institute National des Sciences Appliquees (France)

 2.  Neurofuzzy Controllers  
     Femando Gomide and An-nando F. Rocha
     Universidade Estadual de Campinas (Brazil)

 3.  Distributed Modelling  
     W. Pedrycz* and Armando F. Rocha**
     * University of Manitoba (Canada)
     **State University of Campinas (Brazil)

 4.  A Proposal for Approximate Case-based Reasoning on Neural Networks
     Zuliang Shen, Ho Chung Lui and Liya Ding
     National University of Singapore (Singapore)

 A-10  NEURAL NETS AND FUZZY SYSTEMS  PART II (INVITED)
     Organizer : Armando F. Rocha
     Universidade Estadual de Campinas (Brazil)

 1.  A Connectionist Architecture for Production Rules with Variables
     Katsuaki Sanou, Steve G. Romaniuk and Lawrence 0. Hall
     University of South Florida (U.S.A.)

 2.  Neurofuzzy Interpolation : I. The Theoretical Background
     F. J. V. Zuben*, M. Regattieri* and Armando F. Rocha**
     * Universidade Estadual de Campinas (Brazil)
     **Research on Natural and Artificial Intelligence (Brazil)

 3.  Using Boundary Shape Data for Efficient Adaptive Rule
     Modifications 
     Hideyuki Takagi
     University of California, Berkeley (U.S.A.)

 4.  A Proposal of Parallel Resolution Inference on Neural Logic Network
     Liya Ding
     National University of Singapore (Singapore)

 B-I  LEARNING ALGORITHM FOR FUZZY SYSTEMS (INVITED)
      Organizer : Miguel Delgado and Antonio Gonzalez
      Universidad de Granada (Spain)

 1.  The Frequency on Fuzzy Domains and its Application to the System
     Identification 
     Miguel Delgado and Antonio Gonzalez
     Universidad de Granada (Spain)

 2.  Empirical Learning for Fuzzy Knowledge Acquisition
     Elisabetta Binaghi
     I F C T R -C.N.R. (Italy)

 3.  Learning Rules for A Fuzzy Inference Model 
     Luis M. de Campos and Serafin Moral
     Universidad de Granada (Spain)

 4.  A Knowledge Base Structure for Fuzzy Controllers  
     Ricardo Garcia Rosa, Ma Teresa de Pedro and Marco Tulio de Andrade
     Instituto de Automadtica Industrial, CSIC (Spain)

 B-2 KNOWLEDGE ACQUISITION AND TOOLS FOR EXPERT SYSTEMS TECHNOLOGY (INVITED)
     Organizer : H.-J. Zimmermann
     RWTH Aachen (Germany)

 1.  Fuzzy Similar Informations in Fuzzy Information Techniques  
     Hubert Frank
     University of Dortmund (Germany)

 2.  Fuzzy-ID3 : A Class of Methods for Automatic Knowledge Acquisition
     Richard Weber
     Elite-European Laboratory for Intelligent Techniques Engineering
     (Germany)

 3.  Online Development Tools for Fuzzy Knowledge-Based Systems of Higher
     Order 
     C. von. Altrock and B. Krause
     INFORM Software Corp., Aachen (Germany)

 4.  Reasoning with Uncertainty in the Knowledge Engineering Environment KEE 
     Rudolf Felix**, Claudio Moraga* and Bemd Reusch*
     * University of Dortmund (Germany)
     **Fuzzy Demonstration Centre Dortmund (Germany)

B-3  APPROXIMATE REASONING   PART I (INVITED)
     Organaizer : I. B. Turksen
     Tokyo Institute of Technology (Japan)

 1.  Classification and Representation of Ambiguity in Language Usage 
     Toshihiko Yokogawa
     Laboratory for International Fuzzy Engineering Research (Japan)

 2.  Search Strategies using Fuzzy Sets 
     Makishi Nakayama* and Anca Ralescu**
      * Kobe Steel Ltd (Japan)
      **LIFE (Japan)

 3.  Sensitivity Analysis in Fuzzy Systems  
     I. B. Turksen* and Q. Wang**
      * Tokyo Institute of Technology (Japan)
      **University of Toronto (Canada)

 4.  A Syllogistic Reasoning as a Multi-Objective Default Expectation Process
     Hiroshi Narazaki and I. B. Turksen
     Tokyo Institute of Technology (Japan)

 B-4  APPROXIMATE REASONING  PART II

 1.  Analytical Inference Results for Triangular Fuzzy Data (Invited)
     B. De Baets and E. E. Kerre
     University of Gent (Belgium)

 2.  An Attempt to Methods for Approximate Reasoninig based on Fuzzy
     Entropy's Theory (Invited)  
     Akio Shimizu, Ube Industries, Ltd. (Japan)

 3.  Revision Principle for Approximate Reasoning : Based on Linear Revising
     Method   
     Liya Ding*, Zuliang Shen* and Masao Mukaidono**
     * Institute of Systems Science, National University of Singapore
     (Singapore)   **Meiji University Japan)

4.   A Method of Approximate Reasoninig with Certainty Factor    
     Yutaka Hata, Kiyotaka Miyai, Fujino Miyawaki and Kazuharu Yamato   
     Himeji Institute of Technology (Japan)  

B-5  APPROXIMATE REASONING  PART III  

1.   Fuzzy Matching and Fuzzy Comparison in Fuzzy Expert System
     Keon-Myung Lee, Kyoung-A Seong and Hyung Lee-Kwang, Korea Advanced
     Institute of Science and Technology (Korea)  

2.   Fuzzy Logic Controllers with Flexible Structure
     Ronald R. Yager and Dimitar P. Filev   
     Machine Intelligence Inst., Iona College (U.S.A)  

3.   Pruning Fuzzy Decision Trees  
     Joseph M. Barone   
     Loki Software, Inc. (U.S.A)  

4.   Decision Making under Fuzziness with Multiple Objectives and Its      
     Application to Design Problem Solving   
     Masaaki Ida, Osamu Katai, Tetsuo Sawaragi and Sosuke Iwai   
     Kyoto University (Japan)  

B-6  APPROXIMATE REASONING  PART IV   

1.   Analogical Fuzzy Reasoning and Gradual Inference Rules      
     Ldszlo T. Koczy* and Kaoru Hirota**   
     * Technical University of Budapest (Hungary)   
     **Hosei University (Japan)   

2.   Neural Network-based Fuzzy Production Rule Generation and its    
     Application to an Approximate Reasoning Approach  
     Hyun-Jung Yi and Kyung-Whan Oh   
     SoGang University (Korea)   

3.   Interpolation of Fuzzy If-Then Rules by Neural Networks
     Hisao Ishibuchi, Hidehiko Okada and Hideo Tanaka  
     University of Osaka Prefecture (Japan)   

4.   Interpolation of Noisy Signal Data by using Fuzzy Inference (Invited)  
     Eiji Uchino, Takeshi Yamakawa, Tsutomu Miki and Shin Nakamura  
     Kyushu Institute of Technology (Japan)   

B-7  FUZZY MODELING   

1.   Auto-Tuning Method of Fuzzy Membership Functions Using Neural Network 
     Learning Algorithm : Application to Water Flow Forecasting for Reservoir 
     Ryoichi Ichikawa*, Kazuo Nishimura*, Masahiko Kunugi*, Kazue Shimada*,  
     Yasuharu Shimalcura**, Yohei Fujisawa** and Yasuhisa Matsunoki**  
     * TOSHIBA Corporation (Japan)  **HOKURIKU ELECTRIC POWER Co., INC
     (Japan)   

2.   Fuzzy Logic Based Modeling and Optimization  
     Yu Qian, Patrick Tessier and Guy A. Dumont, The University of British 
     Columbia (Canada)   

3.   A Study on the Fuzzy Selective Relational Algebra (FSRA)  
     Doheon Lee, Hyung Lee-Kwang and Myoung Ho Kim  
     Korea Advanced Institute of Science and Technology (Korea)   

4.   A Self Generating and Tuning Method for Fuzzy Modeling using Interior 
     Penalty Method      
     Ryu Katayama, Yuji Kajitani and Yukiteru Nishida, Sanyo Electric Co.,
     Ltd. (Japan)   

B-8  FZZY ENGINEERING APPLICATIONS (INVITED)  
     Organizer : I. B. Turksen   University of Toronto (Japan)   

1.   Architecture of A Fuzzy-Inference-System Shell  
     I. B. Turksen, Lizhu Guo and K. C. Smith  
     University of Toronto (Canada)   

2.  Incremental Learning of Complex Concepts
     Marcellina M. T. Mileti* and Anca Ralescu**  
     * University of Cincinnati (U.S.A.)  **Laboratory for International
     Fuzzy Engineering Research (Japan)   

3.   Fuzzy Logic Expert System Scheduler 
     I. B. Turksen and T. Yurtsever  
     University of Toronto (Canada)   

4.   Inductive Learning of Conceptual Fuzzy Sets 
     Tomohiro Takagi, Atsushi Imura, Hirohide Ushida and Toni Yamaguchi    
     LIFE (Japan)   

B-9  DIAGNOSTIC SYSTEMS BY FUZZY LOGIC   

1.   Supporting Method for Optimum Maintenance Policy Selection by the 
     FUZZY Logic    
     Toshio Toyota and Peng Chen  
     Kyushu Institute of Technology (Japan)   

2.   Fault Diagnosis Method by Using Fuzzy Rule Based Models  
     Gancho Vachkov* and Hisayoshi Matsuyama**  
     * Sofia Technological University (Bulgaria)  **Kyushu University
     (Japan)   

3.   Detection of Earthquake Precursors by Fuzzy Theoretical Methods  
     Hidemi M. Ito and Akihiko Wakayama  
     Meteorological Research Institute (Japan)   

4.   Reliability Prediction of Electronic Equipment with Fuzzy Inference   
     Tadashi Murata  
     Ryukyu University (Japan)   

B-10  SAFETY RELIABILITY AND NOISE IMMUNITY OF FUZZY/NURAL SYSTEMS   

1.   Fuzzy Risk Index-Theory and Application      
     C. Preyssl* and Y. Nishiwaki**  
     * European Space Agency (The Netherlands)  **University Vienna (Austria)  

2.   Fuzzy Fault Tree Analysis : A Case Study     
     A.W. Deshpande*, U. A. Desh ands** and P. Khanna* 
     * National Environmental Engineering Research Institute (India)       
     **Indian Institute of Technology (India)   

3.   On Subjectivity of Fuzzy Sets Operations in Fuzzy Reliability Analysis 
     Takehisa Onisawa  
     University of Tsukuba (Japan)   

4.   Design and Robustness of Winner-Take-All Cellular Neural Networks     
     Gerhard Seiler and Josef A. Nossek  
     Technische Universitat Munchen (Germany)   

C-1 FUZZY LOGIC CONLTROL PART I  

1.   Uncertainty as Objective Function in Fuzzy Control (Invited)  
     Arthur Ramer  
     University of New South Wales (Australia)   

2.   On Fuzzy Inference Based on Intuitionistic Logic (Invited)  
     Toyohiko Hirota and Torao Yanaru  
     Kyushu Institute of Technology (Japan)   

3.   Comparison of Several Fuzzy Reasoning Methods on Driving Control of a 
     Model Car (Invited) 
     K. Nishimori, H.Tokutaka, S.Hirakawa, S.Kishida and N.Ishihara  
     Tottori University (Japan)   

4.   Fuzzy Control Rules and Stability Conditions      
     S.Takahara*, K.Ikeda** and S.Miyamoto**  
     * Kagawa Prefectural Industrial Technology Center (Japan)  
     **University of Tokushima (Japan)  

C-2 FUZZY LOGIC CONTROL   PART II  

1.   Fuzzy Optimal Control Revisited: Toward a New Generation of Fuzzy  
     Control? (Invited)
     Janusz Kacprzyk, Polish Academy of Sciences (Poland)  

2.   Application of Fuzzy Control to a Batch Culture (Invited)   
     Tsunenobu Fukuda  
     Kaneka Corporation (Japan)  

3.   Forecast Learning Fuzzy Control of an Autonomous Mobile Robot  
     Mikio Maeda, Manabu Shimakawa and Shuta Murakami  
     Kyushu Institute of Technology (Japan)  

4.   Minimization of Rule-Chips in Fuzzy Control and Fuzzy Inference  
     Systems  
     H.N.Teodorescu  
     Polytechnic Institute of Iasi (Romania)  

C-3 FUZZY LOGIC CONTROL PART Ill  

1.   A Movement Control Method and a Learning Method for Multi-Coupled  
     Car-like Robots  
     Kazuhiro Yasui and Hidenori Itoh  
     Nagoya Institute of Technology (Japan)  

2.   An Adaptive Fuzzy Current Controller with Neural Network for Field-  
     Oriented Controlled Induction Machine   
     Kyu-Chan Lee, Seong-Sik Min, Jhong-Whan Song and Kyu-Bock Cho  
     Hyosung Industries Co., Ltd (Korea)  

3.   Cooperative Mobile Robots using Fuzzy Algorithm  
     Hyuntae Kim, Heungsik Noh, Seungwoo Kim and Mignon Park  
     Yonsei University (Korea)  

4.   Fuzzy Pll-based Active Vibration Modes Compensation    
     H.N.Teodorescu*, I.Bogdan* and F.Grigoras**  
     * Center for Fuzzy Systems & AI (Romania)  **Institute for Information
     Science (Romania)  

C-4 FUZZY LOGIC CONTROL PART IV  

1.   Stability Analysis of a Fuzzy Control System of a Superconducting  
     Actuator       
     Tadashi Kitamura and Mochimitsu Komori  
     Kyushu Institute of Technology (Japan)  

2.   An Automatic Start-up and Shut-down Control of a Drum-type Boiler using
     Fuzzy Logic  
     Zeungnam Bien*, Dong-Hwan Hwang*, Jae Hyuk Lee*, Hyung-Keun Ryu**, Hanoh
     Lee***, Sung-Kwang Hur**** and Ik-Soo Park****   
     * Korea Advanced Institute of Science and Technology (Korea)   
     **Korea Telecom (Korea)  
     ***Goldstar Industorial Systems (Korea)  
     ****Korea Electric Power Corporation (Korea)    

3.   A Fuzzy Automatic-combustion-control-system of Refuse Incineration    
     Plant 
     Makoto Fujiyoshi and Toshiyuki Shiraki  
     Hitachi Zosen Corp. (Japan)    

4.   A Fuzzy Dynamic Learning Controller for Chemical Process Control      
     Jeong Jun Song and Sunwon Park  
     Korea Advanced Institute of Science and Technology (Korea)  

C-5 SYSTEM IDENTIFICATIONS BY NEURAL NETWORKS  
     Organizer : Takeshi Yamakawa  Kyushu Institute of Technology (Japan)   

1.   A Neo Fuzzy Neuron and Its Applications to System Identification and  
     Prediction of the System Behavior  
     Takeshi Yamakawa, Eiji Uchino, Tsutomu Miki and Hiroaki Kusanagi  
     Kyushu Instituye of Technology (Japan)    

2.   Neuro-Fuzzy Identification Model of Nonlinear Dynamic Systems  
     Minho Lee, Soo-Young Lee and Cheol Hoon Park  
     Korea Advanced Institute of Science and Technology (Korea)    

3.   Space-Time Structure Dynamics of Neural Networks  
     Licheng Jiao and Zheng Bao  
     Xidian University (P.R.China)    

4.   On the Dynamics and Potentialities of a Discrete-time Binary Neural
     Network with Time Delay 
     Simone Gardella, Toru Kumagai, Ryoichi Hashimoto and Mitsuo Wada      
     Industrial Products Research Institute, MITI (Japan)    

C-6 NEURAL CHIPS 

1.   Custom Analog VLSI Neural Chips with On-chip Digital Learning for     
     Pattern/Character Recognition (Invited)      
     Yiwen Wang* and Fathi M. A. Salam**  
     * University of Minnesota (U.S.A.)  **Michigan State University (U.S.A.)  
 
2.   A Simple Nonlinear Synapse Circuit for Artificial Neural Networks     
     (Invited) 
     Myung-Ryul Choi, Korea Electronics Technology Institute (Korea)    

3.   MOS Charge-mode Circuits for Analog VLSI Neural Systems  
     Okihiko Ishizuka, Zheng Tang, Jing Liang and Hiroki Matsumoto  
     Miyazaki University (Japan)    

4.   An Input Driven Multi-layer Perceptron Neural Network and CMOS VLSI   
     Implementation  
     Ho Sun Chung, Kyung Hoon Lee, Soo Yong Lee and Kwon Il Bae  
     Kyungpook Nation University, Taegu (Korea)  

C-7 HARDWARE IMPLEMENTATIONS OF NEURAL NETWORK MODELS  

1.   Modular Analog Hardware Neural Networks with On Chip Hebbian Learning and
     Analog Weight Storage (Invited)    
     B. Linares-Barranco*, E. Sanchez-Sinencio**, A. Rodriguez-Vazquez* and 
     J. L. Huertas*
     * Centro Nacional de Microelectronica(Spain)  **Texas A&M University
     (U.S.A.)  

2.   Fuzzy Processors using Neural Phenomena in CMOS Digital LSI (Invited) 
     Katsufusa Shono, Cong-Kha Pham and Shinichi Ooki  
     Sophia University (Japan)  

3.   On Realization of Large Neural Networks      
     Wieslaw Sienko and Andrzej Luksza, Maritime Merchant Academy (Poland)  

4.   Analog Integrated Cochlear Model for Speech Analysis (Invited)  
     Weimin Liu and Moise H. Goldstein, Jr. and Andreas G. Andreou  
     The Johns Hopkins University (U.S.A)  

C-8 FUZZY HARDWARES AND FUZZY LOGIC COMPUTERS 

1.   Serial Architecture for Fuzzy Controllers: Hardware Implementation using 
     Analog/Digital VLSI Techniques     
     Jose L. Huertas Diaz, Santiago Sanchez-Solano, Angel Barriga-Barros and 
     Iluminada Baturone Castillo  
     Centro Nacional de Microelectronica (Spain)  

2.   Digital Fuzzy Processor FP-5000 
     Kazuhisa Shimizu, Masaharu Osumi and Fumikazu Imae  
     OMRON Corporation (Japan)  

3.   WARP: Weight Associative Rule Processor An Innovative Fuzzy Logic  
     Controller     
     Andrea Pagni, Rinaldo Poluzzi and Gianguido Rizzotto  
     SGS-Thomson Microelectronics (Italy)  

4.   Architectures for Rule-Chips Number Minimizing in Fuzzy Inference     
     Systems 
     H.N. Teodorescu* and T. Yamakawa**  
     * Polytechnic Institutte of Iasi (Romania)  **Kyushu Institute of
     Technology (Japan)  

C-9 NOVEL DEVICES FOR NEURAL & CHAOTIC SYSTEMS

1.   Implementation of Neural Network Adder (Invited)  
     Mititada Morisue, Kenichiro Sakai and Hideki Fujinaga  
     Saitama University (Japan)  

2.   Generation of Chaotic Signals using Current Mode Techniques  
     A. Rodriguez-Vazquez, M. Delgado-Restituto, S. Espejo and J. L. Huertas 
     Centro Nacional de Microelectronica (Spain)  

3.   Boltzmann Machine Scheme Learning in an Analog Chaos Neuro-Computer   
     Masayoshi Inoue and Akihiro Nagayoshi  
     Kagoshima Univversity (Japan)  

4.   A Chaotic Chip for Analyzing Nonlinear Discrete Dynamical Network     
     Systems (Invited)  
     Takeshi Yamakawa, Tsutomu Miki and Eiji Uchino  
     Kyushu Institute of Technology (Japan)  

D-1 FUZZY LOGIC 

1.   Basic Tools for Fuzzy Control: Triangular Norms and Conorms (Invited) 
     Erich Peter Klement and Peter Bauer  
     Johannes Kepler Universitat (Austria)  

2.   Mathematical Foundations of Fuzzy Logic (Invited)  
     Esko Turunen  
     Lappeenranta University of Technology (Finland)  

3.   Linguistically Oriented Fuzzy Logic Controller (Invited)  
     Vilem Novak, Czechoslovak Academy of Sciences (Czechoslovakia)  

4.   Complements, t-norms, and s-norms in Toll Sets  
     Sadaaki Miyamoto, University of Tokushima (Japan)  

D-2 FUZZIFICATION AND UNCERTAINRY MEASURE  

1.   Average Total Uncertainty : A New Measure and its Properties (Invited) 
     Nikhil R. Pal, James C. Bezdek and Rohan Hemasinha  
     University of West Florida (U.S.A.)  

2.   Information Based Reasoning in Fuzzy and Dempster-Shafer Theories     
     (Invited)      
     Arthur Ramer, University of New South Wales (Australia)  

3.   Multi-Valued Logic of Uncertainty Derived from Epistemic Modality 
     Tetsuya Murai*, Masaki Miyakoshi** and Masaru Shimbo**  
     * Sapporo Medical College (Japan)  **Hokkaido University (Japan)  

4.   Fuzzifications of Complete Lattices and Applications  
     Arturo A. L. Sangalli, Champlain Regional College (Canada)  

D-3 FUZZY MEASURES AND APPLICATIONS (INVITED)
     Organizer : Michel Grabisch, Thomson-Sintra ASM (France)  

1.   Application of Fuzzy Measure, Fuzzy Integral and Neural Network to the 
     System Which Estimate Taste by Using Industrial Analysis
     Masanori Matsuda* and Takaharu Kameoka**  
     * Satake Corporation (Japan)       **Mie University (Japan)   

2.   Tensor Representation of Utility Functions with Mutual Utility 
     Independence 
     Yutaka Matsushita and Hiroshi Katukura, Shimizu Corporation (Japan)    

3.   Modeling of Indexing in Document Retrieval Based on Doxastic Modal 
     Operators Defined by Fuzzy Measures     
     Tetsuya Murai*, Masaaki Miyakoshi** and Masaru Shimbo**  
     * Sapporo Medical College (Japan)  **Hokkaido University (Japan)   

4.   Non-additivity of Fuzzy Measures Representing Preferential Dependence  
     Yoshiaki Murofushi* and Michio Sugeno**  
     * University of Electro-Communications (Japan)  **Tokyo Institute of
     Technology (Japan)   

D-4 GRADUAL RULES AS A TOOL FOR QUALITATIVE MODELING (INVITED)  
     Organizers : Henri Prade* and Michel Grabisch** 
     * Universite Paul Sabatier (France) **Thomson-Sintra ASM (France)   

1.   A Method of Gradual Shifts in Interval-Valued Reasoning  
     I. B. Turksen* and Y. Tian**  
     * Tokyo Institute of Technology (Japan) and University of Toronto
     (Canada)  **University of Toronto (Canada)   

2.   Gradual Rules in a Decision Support System for Foreign Exchange Trading 
     Yasunori Katoh, Hideo Yuize, Minoru Yoneda, Kazuyoshi Takahashi,      
     Shun'ichi Tano,Tatsuo Yagyu, Michel Grabisch and Satoru Fukami   
     Laboratory for International Fuzzy Engineering Research (Japan)   

3.   Gradual Rules and the Approximation of Functions  
     Didier Dubois*, Michel Grabisch** and Henri Prade*  
     * Universite Paul Sabatier (France)  **Thomson-Sintra ASM (France)   

D-5 DIFFERENCE ASPECTS OF APPROXIMATE REASONING (INVITED)
     Organizer : D. Dutta Majumder   Indian Statistical Institute (India)   
1.   An Alternative Approach to Approximate Reasoning  
     Kumar S. Ray and D. Dutta Majumder  
     Indian Statistical Institute (India)   

2.   Approximate Reasoning using the Technique of Generalised Disjunctive 
     Syllogism 
     Swapan Raha* and Kumar S. Ray**  
     * Visva Bharati University (India)  **Indian Statistical Institute
     (India)   

3.   Rule Generation and Inferencing with a Layered Fuzzy Neural Network   
     Sushmita Mitra and Sankar K. Pal, Indian Statistical Institute (India)   
     
4.   Fuzzy Divergence - a New Measure for Image Segmentation 
     Dinabandhu Bhandari, Nikhil R. Pal and D. Dutta Majumder  
     Indian Statistical Institute (India)    

D-6 COGNITION    

1.   Cognitive Information and Neural Computing Systems  
     Madan M. Gtipta, University of Saskatchewan (Canada)    

2.   A Neural Network Model Explaining Subjective Contour  
     Koichi Ikuta and Kunihiko Fukushima, Osaka University (Japan)    

3.   A Computer Model of Walking Cognition on the Cerebral Cortex  
     Yoshikazu Imai, Kumamoto Junior College (Japan)    

D-7 FUZZY CLUSTERING PART I

1.   A Comparison of some Methods of Fuzzy Classification on Real Data 
     Michael Grabisch and Francois Dispot  
     Thomson-Sintra ASM (France)    

2.   A Clustering Method for the Fuzzy Observations  
     Mika Sato and Yoshiharu Sato, Hokkaido University (Japan)    

3.   Experimental Study on Optimal Fuzzifying Mesh Feature of Character  
     Wang Xiaowen and Reiji Hashimoto, Okayama University of Science (Japan)  

D-8 FUZZY CLUSTERING PART II

1.   Efficient Fuzzy Partition of Pattern Space for Classification Problems 
     Hisao Ishibuchi, Ken Nozaki and Hideo Tanaka, University of Osaka
     Prefecture (Japan)    

2.   Geometric-logical Pattern Classification  
     K. Hirota* and W. Pedrycz**  
     * Hosei University (Japan)  **University of Manitoba (Canada)    

3.   Concept Structure Analysis Applying Fuzzy Graph (Invited)  
     Hajime Yamashita*, Kazuo Nishimura**, Yoshihiko Itoh***, Yasuo 
     Katsumata**** and Ei Tsuda***** 
     *Waseda University (Japan)   
     **Kawamura University (Japan) 
     ***Johsai University (Japan) 
     ****Meguro SR.High School (Japan)  
     *****Kokugakuin SR.High School (Japan)   

D-9 NATURAL LANGUAGE

1.   Interactive Human Face Retrieval System Based on Linguistic
     Expression    
     Makishi Nakayama, Koji Miyajima, Hiroshi Iwamoto and Toshio Norita    
     Laboratory for International Fuzzy Engineering Research (Japan)   

2.   Parsing Fuzzy Queries  
     Dan Cristea* and Hoira-Nicolai Teodorescu**   
     * University of Iasi (Rumania)   ** Polytechnic Institute of Iasi
     (Rumania)   

3.   Spreading Activation Networks for Natural Language Processing   
     Todd Law and Hidenori Itoh, Nagoya Institute of Technology (Japan)   

4.   A Fuzzy Semantic Network and its Use for Dealing with Incomplete 
     Semantic Description   
     Shin Ishii, Ricoh Co.Ltd (Japan)   

D-10 MAN-MACHINE COMMUNICATION

1.   Error Correction of Key-Inputted Instructions Using Fuzzy Hamming     
     Distance  
     Hiroyuki Araki and Seiichirou Kaguei   
     Yokohama National University (Japan)   

2.   Using Fuzzy Production System in the Simulation and Gaming for an
     Intelligent Tutoring System 
     Chea Bun Song, Nagoya University (Japan)   

3.   Fuzzy Rules as a Programming Medium for Children   
     John Maeda, Yoshihiko Sakai, Yoshihiko Sawada and Rie Komuro     
     International Media Research Foundation (Japan)   

4.   An Optical Fuzzy Classifying System for Facial Expressions   
     Kazuho Tamano, Hiroshima Institute of Technology (Japan)   

E-I LEARNING ALGORITHM PART I

1.   Supervised Learning Using Cauchy Energy Function   
     Maqbool Ahmad and Fathi M. A. Salam, Michigan State University (U.S.A.)  

2.   The Unified Neural Network Theory and Proposal of New Models   
     Sumio Watanabe and Kenji Fukumizu, RICOH Co., Ltd. (Japan)   

3.   Novel Fast Training Algorithm for Multi-layer Feedforward Neural
     Network   
     Dong-Jo Park, Byung-Eul Jun and Jung-Hoon Kim, Korea Advanced Institute 
     of Science and Technology (Korea)   

4.   Complexity Term to Accelerate the Learning in Recurrent Neural
     Networks       
     Ryotaro Kamimura, Tokai University (Japan)  

B-2  LEAERNING ALGORITHM PART II

1.   An Iterative Learning Control Method using Neural Networks for Robot
     Manipulator
     Zeungnam Bien, Hak-Sung Lee, Dong-Hwan Hwang and Jong-Woon Lee 
     Korea Advanced Institute of Science and Technology (Korea)  

2.   Binarization for Multi-layer Bidirectional Associative Memory 
     Dong-Gyu Jeong, Ho-Hyun Chun and Soo-Young Lee, Korea Advanced Institute
     of Science and Technology (Korea)  

3.   Path-Planning for Multiple Mobile Robots by Genetic Algorithms   
     Selfish-Planning and Coordinative-Planning (Invited) 
     Takanori Shibata, Toshio Fukuda, Kazuhiro Kosuge and Fumihito Arai    
     Nagoya University (Japan)  

4.   Extracting Fuzzy Knowledge from Rank Ordered Sample Data via Instance 
     Generalization and Connectionistic Computation (Invited) 
     Osamu Katai, Masaaki Ida, Tetsuo Sawaragi and Sosuke Iwai 
     Kyoto University (Japan)      

B-3  NEURAL HETWORK DESIGN AND EVALUATION PART I

1.   A Product-of-norms Neural Network Model with Applications to Image
     Association 
     Jiansheng Hou and Fathi M. A. Salam, Michigan State University (U.S.A)  

2.   Two Design Strategies of Neural Network for Complex Classification
     Problems 
     Sung-Bae Cho and Jin H. Kim Korea Advanced Institute of Science and
     Technology (Korea)  

3.   Artificial Neural Networks : A Tool for Extrapolative Forecasting 
     Anupam das Purkayastha, S. M. George and P. Ram Babu, Devi Ahilya
     University (India)  

4.   Design and Analysis of PCM Encoder Using T-Model Neural Network 
     Okihiko Ishizuka, Zheng Tang, Masakazu Sakai and Hiroki Matsumoto
     Miyazaki University (Japan)  

E-4  NEURAL NETWORK DESIGN AND EVALUATION PART II
     
1.   Temporal Pattern Recognition Model Using Velocity-Controlled Delay-Lines
     Kouichirou Yamauchi and Kunihiko Fukushima, Osaka University (Japan)  

2.   Elimination of Redundant Connections by Parametric Lateral Inhibition in
     Trainable Neural Networks (Invited) 
     Syozo Yasui, Kyushu Institute of Technology (Japan)  

3.   Activation of Connections to Organize Internal Representation in
     Recurrent Neural Networks  
     Ryotaro Kamimura, Tokai University (Japan)  

4.   Ensemble Organization as a Basis of Reliable Functioning of Neural
     Networks
     G. Chorayan, The Rostov State University (Russia)  

E-5  NEURAL NETS AND DECISION AND OPTIMIZATION PROBLEMS (INVITED)  
     Organizers : A. Gonzalez and J. L. Verdegay   Universidad de Granada
     (Spain)  

1.   R-FN : A Model of Fuzzy Neuron 
     Ignacio Requena and Miguel Delgado, Universidad de Granada (Spain)  

2.   Neural Networks to Solve Combinatorial Optimization Problems in Digital 
     Circuit Testing  
     Julio Ortega, Alberto Prieto, Antonio Lloris and Francisco J.Pelayo 
     Universidad de Granada (Spain)  

3.   A Neural Net to Construct Data Base Indices  
     M. Theoto* and A. F. Rocha**  
     * University of Sao Paulo (Brazil)  **Research on Natural and Artificial
     Intelligence (Brazil)  

4.   Multiple Attribute Decision Making based on Fuzzy Relationships between 
     Objectives  
     Rudolf Felix, Fuzzy Demonstration Centre Dortmund (Germany)  

E-6  NEURAL NETWORK APPLICATIONS PART I (INVITED)       
     Organizer : Norio Baba, Osaka Kyoiku University (Japan)  

1.   A Structure Reduction of Neural Network with Random Masks and Bill Money 
     Recognition 
     Fumiaki Takeda*, Sigeru Omatu*, Takeshi Inoue**, Saizo Onami** and 
     Kenichi Konishi**  
     * University of Tokushima (Japan)  **Glory Ltd. (Japan)  

2.   Applications of Neural Network Models to Iron and Steel Making Processes 
     Yoshihisa Otsuka, Kunihiro Hanaoka and Masami Konishi, Kobe Steel, Ltd.
     (Japan)  

3.   A New Algorithm for Training Neural Networks and Its Applications
     Norio Baba, Osaka Kyoiku Unversity (Japan)  

4.   Elastic Fuzzy Logic : A Better Fit with Neurocontrol  
     Paul J. Werbos, National Science Foundation (U.S.A)  

E-7  NEURAL METWORK APPLICATIONS  PART II (INVITED)   
     Organizer  Norio Baba, Osaka Kyoiku University (Japan)  

1.   Elicitation of Expert Knowladge by Structural Learning of Neural Network 
     with Application to Accelerator Diagnosis  
     M. Kitamura*, H. Furukawa* and I. Abe**   
     *Tohoku University (Japan)  **National Laboratory for High Energy Physics
     (Japan)  

2.   Nonlinear Control Using Neural Networks with Mixed Structure  
     Hiroshi Kinjo*, Sigeru Omatu** and Tetsuhiko Yamamoto*  
     * University of the Ryukyus (Japan)  **University of Tokushima (Japan)   

3.   Utilization of Stochastic Automation and Genetic Algorithm for Neural 
     Network Design
     Norio Baba, Masayuki Marume and Ken Itoh, Osaka Kyoiku University (Japan) 
      

4.   A Method for Supporting Decision-Making on Plant Operation based on 
     Human Reliability Analysis with Fuzzy Integral  
     Takeshi Washio*, Hideaki Takahashi* and Masaharu Kitamura**  
     * Mitsubishi Research Institute, Inc. (Japan)  **Tohoku University
     (Japan)    

E-8 NEURAL NETWORK APPLICATIONS PART III

1.   Invariant Visual Information Processing Using Higher Order Neural 
     Networks  
     Chelol Hoon Park and Lae Jeong Park, Korea Advanced Institute of Science
     and Technology (Korea)   

2.   Application of Neural Computing to Aesthetic Design of Dam Structures 
     Hitoshi Furuta*, Taro Tonegawa*, Hiroyuki Morimoto** and Eiichi Watanabe* 
     *Kyoto Unversity (Japan)  **Construction Technology Institute (Japan)  

3.   A New Approach to Problem Solving by Modular Structured Networks  
     Masumi Ishikawa, Kyushu Institute of Technology (Japan)   

4.   A Neural Network Approach to Manufacturing Cell Formation  
     Chao-Hsien Chu and Ling-Feng Li, Iowa State University (U.S.A.)   

E-9 NEURAL NETWORK APPLICATIONS PART IV

1.   Isolated Korean Words Recognition Using Partially Connected Neural 
     Network and Contextual Net
     Hwan Jin Choi and Yang Huan Oh, Korea Advanced Institute of Science and
     Technology (Korea)   

2.   Modified Differentiation and Nonlinear Function in Motion Detection of 
     Neural Network
     Naohiro Ishii, Nagoya Institute of Technology (Japan)   

3.   A Case Study on a Neural Network for Handwritten Character  
     Recognition
     Kenji Togashi and Takao Ichiko  
     Yamagata University (Japan)  

4.   An Artificial Neural-Net Based Approach to Quadratic Power Load Flow
     Calculation in Electric Power Systems
     Hiroyuki Mori, Meiji University (Japan)   

E-10 NEURAL NETWORK APPLICATIONS PART V

1.   Neural Networks for Direction-of-Arrival Estimation   
     Zong-Kai Yang and Wen-Qing Cheng   
     Huazhong University of Science and Technology (China)  

2.   Electrophotography Process Control Method based on Neural Network and 
     Fuzzy Theory
     Tetsuya Morita*, Mitsuhisa Kanaya*, Tatsuya Inagaki*, Hisao Maruyama**
     and Shinji Kato**  
     *Ricoh Co., Ltd. R&D Center (Japan)  
     **Ricoh Co., Ltd. RP Development Center (Japan)  

3.   An Application to Photometric Stereo by Neural Networks   
     Yuji Iwahori*, Naohiro Ishii*, Robert J. Woodham**, Masahiro Ozaki*** and
     Yoshinori Adachi****  
     *Nagoya Institute of Technology (Japan)   **University of British
     Columbia (Canada)   ***Okazaki Women's Jr. College (Japan)   ****Chubu
     University (Japan) 

4.   Pattern Segmentation Using the TIM Neural Network Architecture   
     W. Banzhaf and K. Kyuma, Mitsubishi Electric Corp., Japan   

F-l CHAOTIC COMPLEXITY PART I, II (INVITED)  
     Organizer Ichiro Tsuda and Hatsuo Hayashi, Kyushu Institute of Technology
     (Japan)   

1.   Complex Dynamics in a Realistic Neural Network Model  
     Hans Liljenstrom, Royal Institute of Technology (Sweden)   

2.   Self-Organization and Information Processing in Photorefractive Systems:
     Optical Machines that Learn on Their Own  
     Dana Z. Anderson, University of Colorado (USA)   

3.   Constraining Chaos in an Optical Ring Memory Device  
     Peter Davis and Tahito Aida, ATR Optical and Radio Communications
     Research Laboratories (Japan)  

4.   Singular-Continuous Weierstrass-Function Attractors  
     Otto E. Rossler*, Roland Wais** and Reimara Rossler*  
     * University of Tubingen(Germany)  ** University of Hamburg(Germany)  

5.   Complexity and Chance in Non-Stationary Chaos - Law of Large Number and 
     Law of Small Number
     Yoji Aizawa, Waseda University (Japan)  

6.   Oscillation and Chaos in a Model of the Olfactory Bulb   
     P. Erdi, T. Grobler and G. Barna,  The Hungarian Academy of Sciences
     (Hungary)  

7.   Statistical Approach for Computing the Largest Lyapunov Exponent  
     Gybrgy Bama, Kyushu Institute of Technology (Japan) and The Hungarian
     Academy of Sciences (Hungary)  

8.   Chaotic Neural Nets, Computability, Undecidability and Fuzzy Sets  
     Gianfranco Basti*, Antonio Perrone** and Eros Pasero***   
     * Pontifical Gregorian University (Italy)   ** University of Rome "Tor
     Vergata" (Italy)   ***Politecnico di Torino (Italy)  

9.   Controlled Chaos in the Basal Forebrain 
     Walter J. Freeman.  University of California, Berkeley (U.S.A.)  

F-2  Chaos Engineering PART I (INVITED)   
     Organizer : Kazuyuki Aihara   Tokyo Denki University (Japan)  

1.   Toward "Chaos Engineering"
     Kazuyuki Aihara, Tokyo Denki University (Japan)  

2.   "Generalized" Ulam-Li's Approximation to Invariant Density of One-
     Dimensional Chaos and Its Extension to Approximation to Asymptotic
     Measure on Henon's Chaotic Attractor   
     Tohru Kohda*, Kenji Murao**, Ryuji Shinji*   
     * Kyushu University (Japan)   **Miyazaki University (Japan)   

3.   Taste Sensing System and Chaos   
     Kiyoshi Toko, Yoshinori Saida, Tetsuya Matsuno, Kenshi Hayashi, Kaoru
     Yamafuji   
     Kyushu University (Japan)  

4.   Nonlinear Associative Dynamics in A Chaotic Neural Networks   
     Masaharu Adachi, Kazuyuld Aihara, Makoto Kotani   
     Tokyo Denki University (Japan)   

F-3 CHAOS ENGINEERING PART II (INVITED)
     Organizer : Kazuyuki Aihara   Tokyo Denki University (Japan)  

1.   Fractal Image Coding Techniques based on IFS   
     Ryuji Tokunaga, Tsukuba University (Japan)   

2.   Diversity and Regularity in Chaotic Wandering of Robot   
     Jun Tani, Sony Corp. (Japan)   

3.   Autonomous Chaotic Oscillations of a Model of Chemically Excitable 
     Membranes 
     Nobuko Fuchikami*, Masayoshi Naito**   
     * Tokyo Metropolitan University (Japan)   **Hitachi, Ltd. (Japan)  

4.   An Analysis of Electroencephalographic Potentials by Deterministic
     Nonlinear Prediction  
     Tohru Ikeguchi*, Kazuyuki Aihara**   
     * Science University of Tokyo (Japan)   **Tokyo Denki University (Japan)  
     

F-4 CHAOS AND COMPUTING (INVITED)
     Organizer : Paul J. Werbos,  National Science Foundation (U.S.A) 

1.   Quantum Theory, Computing and Chaotic Solitons   
     Paul J. Werbos, National Science Foundation (U.S.A)   

2.   Theoretical and Practical Challenges in Chaos Computing   
     Steven C. Suddarth, Air Force Office of Scientific Research (U.S.A)  

3.   A Neural Network Computer Architecture for Computation with Oscillatory 
     and Chaotic Attractors   
     Bill Baird* and Frank Eeckman**   
     * University of California, Berkeley (U.S.A)   **O Division, LLNL
     (U.S.A.)   

4.   A Modular Hierarchical Approach to Learning   
     Pierre Baldi, California Institute of Techinology (U.S.A)   

F-5  BIOMEDICAL APPLICATIONS OF FUZZY LOGICAL NEURAL NETS PART I

1.   Neural Expert System Using Fuzzy Teaching Input and Its Application to 
     Medical Diagnosis (Invited)   
     Yoichi Hayashi, Ibaraki University (Japan)   

2.   A Practical Application of Fuzzy Theory to an Auto-Regulation System for
     Extra-Corporeal Circulation   
     Toshikazu Tobi* and Jiro Anbe**   
     * Dai-dan Co., Ltd. (Japan)   **Teikyo University (Japan)   

3.   Medical Diagnosis Using a Parallel Fuzzy Inference Performed by Neural 
     Networks   
     Takumi Ichimura*, Eiichiro Tazaki* and Katsumi Yoshida**  
     *Toin University of Yokohama (Japan)   **Keio University (Japan)  

4.   A New Rate Regulation Algorithm for Activity Sensing Pacer Using a Neural
     Network System 
     Norihito Kashiwagi*, Toshikazu Tobi*, Hiroshi Nakajima**, Jiro Anbe** and
     Tadayoshi Akasaka**   
     * Dai-dan Co., Ltd. (Japan)   **Teikyo University (Japan)  

F-6 BIOMEDICAL APPLICATIONS OF FUZZY LOGICAL NEURAL NETS PART II

1.   An Automatic Monitoring and Estimation Tool for the Cardiovascular  
     System under Ventricular Assistance Using Fuzzy Reasoning (Invited)  
     Makoto Yoshizawa*, Hiroshi Takeda**, Makoto Miura**, Tomoyuki Yambe** and
     Shin-ichi Nitta**
     *Toyohashi University of Technology (Japan)   **Tohoku University (Japan) 
     
2.   Supporting System for Medical Diagnosis Using Natural Language by a Fuzzy
     Inference 
     Seizaburo Arita*, Masaya Yoneda*, Yuusuke Nakamura**, Rou Yamashita***,
     Tadashi Shibue**** and Yoshimi Hori*****  
     *Kawasaki Medical School (Japan)   **Kyushu University (Japan)  
     ***Kanazawa University (Japan)   ****Kagoshima University (Japan)  
     *****Kawasaki University of Medical Welfare (Japan)  

3.   Application of Fuzzy Theory to Traditional Chinese Medicine by using the
     Pulse Phenomena 
     Lee Hsing-Lin*, Yoshinori Adachi**, Shoji Suzuki*** and Masayoshi
     Umeno***   
     * Kung Shan Institute of Technology (Taiwan)   ** Chubu University
     (Japan)   ***Nagoya Institute of Technology (Japan)  

4.   Analogical Reasoning : A Connectionist Approach in the Cerebral Cortex  
     Mode
     Sandrine Allemand, Francois Blanc, Michel Dufosse and Elie Sanchez  
     Institut Mediterraneen de Technologie (France)    

POSTER SESSION

P-1. Stochastic Dynamic Properties of Generalized Layered Neural Networks 
     Yoshitake Yamazaki*, Yoshiko Takayama*, Moyuru Ochiai**, Heiner
     Muller-Krumbhaar*** and Charles P. Enz****  
     *Kyusyu Institute of Technology (Japan)  **Shohoku College (Japan) 
     ***Institut far Festkorper Forschung (Gennany)   ****Universite de Geneve
     (Switzerland)  

P-2. Application of Layered Neural Networks to CAD (Computer Aided Design) for
     Magnetic Devices
     Yoshitake Yamazaki*, Moyuru Ochiai**, Yoshiko Takayama*, Hisao Ueda* and
     Ryuichi Kanbe*  
     * Kyushu Institute of Technology (Japan)  **Shohoku College (Japan)  

P-3. Application of Layered Neural Networks to Phase Analyzer of Laser 
     Yoshitake Yarmazaki*, Akira Mikami**, Moyuru Ochiai***  and Yoshiko
     Takayama*,  
     * Kyushu Institute of Technology (Japan)  ** Advantest Corporation
     (Japan)  ***Shohoku College (Japan) 

P-4. Human Face Recognition by Means of Neural Network  
     Yoshinori Adachi*, Masahiro Ozaki**, Yuji Iwahori*** and Naohiro Ishii*** 
     * Chubu University (Japan)  ** Okazaki Women's Jr. College (Japan) 
     ***Nagoya Institute of Technology (Japan)  

P-5. Gas Discrimination Method by Neural Network  
     Ryosuke Konishi, Tohru Aoki and Hisanari Kimura, Tottori University
     (Japan)  

P-6. The Learning of the Neural Network using Hadamard Transform  
     Hiromu Katayama, Toshifumi Shimomura, Hisamochi Harada and Ryosuke
     Konishi, Tottori University (Japan) 

P-7. A New Type of Fuzzy Neural Network for Linguistic Fuzzy Modeling 
     Shin-ichi Horikawa, Takeshi Furuhashi and Yoshiki Uchikawa, Nagoya
     University (Japan)  

P-8. A Decision Making Model Using a Fuzzy Neural Network  
     Tomonori Hashiyama, Takeshi Furuhashi and Yoshiki Uchikawa, Nagoya
     University (Japan)  

P-9. A Study on Fuzzy Modeling of BOF Using a Fuzzy Neural Network  
     Takashi Hasegawa*, Shin-ichi Horikawa*, Takeshi Furuhashi*, Yoshiki
     Uchikawa*, Shigeru Shimamura**, Toshihisa Yamada**, Okamoto Kunitake**
     and Susumu Otsuka**  
     * Nagoya University(Japan)  **Nippon Steel Corporation (Japan)  

P-10 Recognition of P-wave, QRS-wave, and T-wave in Electrocardiogram with
     Neural Networks
     Nobuyuki Motoki and Yukinori Suzuki, Muroran Institute of Technology
     (Japan)  

P-11 Recognition of Hand-written Characters with Fuzzy Associative Memory
     Akira Nozaki, Norio Konno and Yukinori Suzuki, Muroran Institute of
     Technology (Japan)  

P-12 Fuzzy Theory in Character Learning CAI System 
     Masahiro Ozaki*, Yoshinori Adachi**, Yuji Iwahori*** and Naohiro Ishii***
     *Okazaki Women's Jr. College (Japan)   **Chubu Uriiversity (Japan)  
     ***Nagoya Institute of Technology (Japan)   

P-13 A Diagnostic Expert System for Ultrasonic Testing Using the Fuzzy  
     Reasoning
     Hiroshi Matsuura*, Toshio Yoshimura* and Akiyoshi Kawahito**  
     *University of Tokushima (Japan)   **Miura Institute of Research &
     Development (Japan)   

P-14 A New Force Control method Using Fuzzy Control for a Welding Robot
     Kazuo Yamaba*, Isao Ohtaka* and Takeshi Yamakawa**   
     *Mechanical Engineering Lab. AIST, MITI (Japan)   **Kyusyu Institute of
     Technology (Japan)   

P-15 Fuzzy Ising Spin Model
     Tsuyoshi Horiguchi, Tohoku University (Japan)   

P-16 Sample Valuation by Fuzzy Theory in Cell Analysis   
     Akemi Hayakawa*, Shoji Suzuki** and Yoshinori Adachi***  
     *Nagoya University (Japan)   **Nagoya Institute of Technology (Japan)  
     ***Chubu University (Japan)   

P-17 Analysis of Language Influence by Network and Fuzzy Theory   
     Shoji Suzuki*, Akemi Hayakawa**, Yoshinori Adachi*** and Hiroshi
     Tsunekawa****  
     *Nagoya Institute of Technology (Japan)   **Nagoya University (Japan) 
     ***Chubu University (Japan)   ****Medical Laser Laboratory (Japan)   

DEMONSTRATION SESSION   

Demo-1.   Development of the Operator Support System Applying Fuzzy Algorithms
          for Glass Tube Molding Equipment  
          Masahiko Hishida*, Terukuni Yokoyama*, Yoshihiro Atsumi*, Motonobu
          Masui** and Yasuo Ban**  
          * Mitsubishi Atomic Power Industries, Inc. (Japan)  **Iwasaki
          Electric Co., Ltd. (Japan)   

Demo-2.   Application of Fuzzy Control to a Localized Cleanroom  
          Reiji Yamashita*, Shuichi Itoh* and Takeshi Yamakawa**  
          * DAI-DAN Co., Ltd. (Japan)  **Kyushu Institue of Technology (Japan) 
          
Demo-3.   Fuzzy Discrete IC Family (ZDIS) for Basic Experiment or Learning of
          Fuzzy Control  
          K. Iwashita and Masanari Oh, Apollo Electronics Co., Ltd. (Japan)   

Demo-4.   Evaluation System of Fuzzy Neuron Chip   
          M. Oh, M. Itoh and H. Shiramizu, Apollo Electronics Co., Ltd.
          (Japan)   

Demo-5.   A Fuzzy Logic Expert System Shell in Windows Environment   
          K.S. Leung*, Y.Leung*, Danny Cheung** and H.W. Lee**   
          * The Chinese University of Hong Kong (Hong Kong)   **The GMR High
          Technology Company Limited (Hong Kong)    

ANNEX SESSION

1.   A Simple Fuzzy Evaluating System for Knowledge Tests Results   
     Dorin Isoc, Institutul Politehnic Cluj Napoca (Romania)   

2.   Learning Technologines in Expert Assistant Ficckas -Fuzzy Information
     Cluster, Choice and Knowledge Acquisition System  (Invited)  
     Lepmod Kitainik and Sergei Orlovski, Computing Center of the Russian
     Academy of Sciences (C.I.S.)  

3.   Mainsprings of Cut Technique in Fuzzy Relational Systems   
     Leonid Kitainik, Computing Center of the Russian Academy of Sciences
     (C.I.S.)   

4.   A DSP based Fuzzy Logic Controller 
     I. del Campo, J. R. Gonzalez de Mendivil, J. R. Garitagoitia and J. M.
     Tarela   
     **University of the Basque Country (Spain)   

5.   The Representation of Fuzzy Knowledge in the Diagnostic Expert System 
     Shell EDIP  
     Vladimir Levchenko and Alexander Savinov, Moldavian Academy of Sciences
     (C.I.S.)   

6.   Self-Organizing Fuzzy System Application to Adaptive Control  
     Lacramioara Pavel and Mircea Chelaru, Institute for Information Science
     (Romania)   

7.   A Fuzzy Connectionist Approach for a Knowledge Based Image 
     Interpretation System 
     El-hadi Zahzah, Jacky Desachy and Mustapha Zehana, Universite Paul
     SABATIER (France)   

8.   Distributing Errors in Neural Fuzzy Control 
     Patrik Eklund*, Frank Klawonn** and Detlef Nauck**   
     * ~bo Akademi University (Finland)   **Technical University of
     Braunschweig (Germany)

9.   Improved Character Recognition System based on a Neural Network 
     Incorporating the Context via Fuzzy Automata   
     Roberto Reina, Jose R. Gonzalez de Mendivil and Jose R. Garitagoitia  
     University of The Basque Country (Spain)   

10.  A Neural Network Implementation for Fuzzy Systems - Direct Mapping of 
     Centered Representations for Fuzzy Quantities   
     Adrian Stoica* and Dan Prisacaru** 
     *Polytechnic Institute of Iasi (Romania)   **Sinta SA, Iasi (Romania)   

ll.  Development of Fuzzy Neural Tool for Medical Signal Processing and
     Imaging  (Invited)  
     W.S.Gan, Acoustical Services Pte Ltd (Singapore)   

12.  DST: The Language for the Complex Behaviour of Neural Networks as 
     Adapting and Evolving Systems 
     Shi-Ji Gao and Fred J. Charlwood, City University, Northampton Square
     (UK)   

13.  Development of a Neural Network System for Chinese Character Recognition
     Daniel S. Yeung*, Fong Hak Shun* and Kwan Fai Cheung**  
     * Hong Kong Polytechnic (Hong Kong)  **Hong Kong University of Science &
     Technology (Hong Kong)   

14.  Synthesizing a Neocognitron Network without Training  
     Daniel S. Yeung*, Hing Yip Chan* and Kwan Fai Cheung**  
     * Hong Kong Polytechnic (Hong Kong)  **Hong Kong University of Science &
     Technology (Hong Kong) 

----------------------------END OF REPORT-----------------------------------

Xref: sparky comp.research.japan:338 comp.ai.neural-nets:4661