HDTenEightyP/NetNews huggingface dataset:
From: robert@cs.strath.ac.uk (Robert B Lambert)
Newsgroups: comp.ai.neural-nets
Subject: Perceptron Generalization
Date: 6 Jan 93 15:16:58 GMT
Organization: Comp. Sci. Dept., Strathclyde Univ., Glasgow, Scotland.

Hi.

A question to all you NN gurus out there.

  To achieve an (E x 100%) recognition rate on a test set, where E is the
  acceptable fraction of errors on the test set, a two layer perceptron 
  (1 hidden layer) with W network weights requires m training examples,
  (where training is done with the back-propagation algorithm) such that 
  m>W/e. [Baum and Haussler, 1989]

  To what extent does this result affect the generalization performance of
  perceptrons with greater than one hidden layer?

  Given 10 inputs, does a 3-layer net with 6-6-4 nodes (hidden-hidden-output) 
  require as many training cases as a 2-layer net with 6-4 nodes?

I would appreciate any information on the generalization performance of 
perceptron nets with >1 hidden layer. I will post a summary of the results
(if there are any).

Thanks,  Robert.

[Baum and Haussler, 1989] - E.B.Baum and D.Haussler. "What size of net gives
                            valid generalization?", Neural Computation, vol. 1
                            pages 151-160.

+-----------------------------+-----------------------------------------------+
|  Robert B Lambert           |       E-Mail : robert@cs.strath.ac.uk         |
|  Dept. Computer Science,    +-----------------------------------------------+
|  University of Strathclyde, |   The brain's function is to cool the blood   |
|  Glasgow, Scotland.         |           - Aristotle  400 B.C.               |
+-----------------------------+-----------------------------------------------+
Newsgroups: comp.ai.neural-nets
From: sai33@parker.rsip.lsu.edu (Sundararaman Krishna Sai)
Subject: ANN's for image classification
Nntp-Posting-Host-[nntpd-1278]: parker.rsip.lsu.edu
Organization: Computer Science Dept., Tulane Univ., New Orleans, LA
Date: Wed, 6 Jan 1993 18:53:13 GMT

Hi!
	I am a novice as far as NNs are concerned. I am wondering if anyone has tried using 
ANNs for classification of areial color IR images. I am looking for some pointers on the subject 
and also for any public domain s/w which I can use for the same.  I know that there have been projects
which have used Back-propagation networks for multispectral image classification. 
Thanks in aadvance
--Krishna Sai
  sai@image.ee.lsu.edu
Keywords:
From: webb@breeze.rsre.mod.uk (Andrew Webb)
Newsgroups: comp.ai.neural-nets
Subject: BCS / NCAF Meeting 3 March 1993
Date: 11 Jan 93 09:53:07 GMT
Reply-To: webb@hermes.mod.uk
Distribution: uk
Organization: Defence Research Agency



                    A Joint Meeting Between the
                   BRITISH CLASSIFICATION SOCIETY
                            and the 
                 NEURAL COMPUTING APPLICATIONS FORUM


                   Wednesday, 3$rd$ March 1993
          School of Electronic and Electrical Engineering,
                    University of Birmingham


      Statistical and Neural Network Approaches to Classification


                            Programme
14.00 Introduction 
             Andrew Webb (DRA)

14.05 The Use of Multi--layer Networks with Spatial Organisation
      for a Medical Classification Problem
             Lionel Tarassenko and Stephen Roberts (University of Oxford)

14.45 Empirical Results in the Application of Modern Statistical,
      Neural Network and Machine Learning Algorithms to Large--scale 
      Classification (Supervised Learning) Problems
             Bob Henery (University of Strathclyde)


15.25 Tea


15.45 Neural Networks for Classification
             Richard Rohwer (University of Aston)

16.25 Clustering Techniques for Radial Basis Function Networks
             David Lowe (DRA)

17.05 Closing Remarks
             Brian Everitt (Institute of Psychiatry)


Further information:

                   Andrew Webb
                   DRA 
                   St Andrews Road
                   Malvern
                   Worcestershire WR14 3PS

                   Tel: 0684 894490 
                   e--mail: webb@uk.mod.hermes
									















-- 
----------------------------------------------------------------
Andrew Webb                            DRA Malvern, Gt. Britain     
webb@hermes.mod.uk                    tel  : +44 684 894490
From: Martin Dwomoh - Tweneboah
Newsgroups: comp.ai.neural-nets
Subject: Re: Neural Network and Databases
Date: 11 Jan 93 12:43:35 GMT
Reply-To: martind@ifi.unit.no
Organization: Ifi, University of Trondheim / AVH

In article <1993Jan9.135405.5119@ugle.unit.no> Martin Dwomoh - Tweneboah
writes:
>Hi There!
>I am a student at the Department of Computer Science,University of Trondheim
>;Norway. I am about to start my  thesis for my Masters Degree. I intend to
work
>in the area of NEURAL NETWORKS. To be specific, I intend to work on
Application
>of Neural Networks in Databases and Information retrieval.
>
>I would be grateful if you, out there will be of help as with regards to
>sources Bibliographies,Books,etc.,etc.,
>as well as exchange of ideas in this area of study.
>
>Thanks in advance.   
>
>Martin
>
>***************************************************
>
>REPLY TO : martind@ifi.unit.no
>
>***************************************************
>
From: treason@gnu.ai.mit.edu (Act of Treason)
Newsgroups: comp.ai.neural-nets
Subject: Neraul cockroach
Date: 12 Jan 93 07:30:58 GMT
Organization: Free Software Foundation

I retrieved a program off of the funic archive a while back called
nervous.lzh and found it rather interesting.  Its a neural simulation of a
cockroach for msdos.  It allows building of neurons  and connetions with
moderation and such, but there was one problem.  The neurons are listed
as acronyms, and by themselves mean nothing.  I have threaded through the 
various acronyms and deciphered what they were due to the connections and
functionality, but alas, I still am stumped on a few.  I would really appreciateif someone sent me a list if such a thing exists, and if so, I will modify the source to include a description of what the neuron is for reference of the
individual wishing to modify its parameters.  I am also looking for neural/ai
programs of the same caliber which may run and compile on a pc.  Currently
I am using the Borland C and Turbo Pascal Packages, A pc lisp compiler(Franzian)and the vtprolog found within the aijournals.  If anyone can point me the way ofa common lisp implementation for the pc, and a prolog compiler worth its bones
for the same, I would be indebted indefinately.

Thanks in advance

Treason@gnu
From: benabid@goofi.greco-prog.fr (benabid)
Newsgroups: comp.ai.neural-nets
Subject: Software on neural networks
Date: 10 Jan 93 14:11:39 GMT
Organization: ENSERB, Bordeaux, France.
Originator: benabid@goofi

I am searching for software ( for pc ) or some papers on Neural-networks and thei application in the industry. Any help would be gretly appreciated.

Thanks very much

benabid@celio.greco-prog.fr
Newsgroups: comp.ai.neural-nets
From: carvajal@aio.jsc.nasa.gov (James Carvajal)
Subject: NN simulaion using SIMULINK/MATLAB
Organization: NASA JSC ER24
Date: Fri, 8 Jan 1993 16:39:56 GMT

Can anyone provide to me their experiences on using the 
Neural Network Toolbox with SIMULINK/MATLAB.  I am
considering this package for unsupervised learning
experiments.
Thanks.
From: dmodha@sdcc3.ucsd.edu (Dharmendra Modha)
Newsgroups: comp.ai.neural-nets
Subject: UCSDs graduate programs in Neural Nets.
Date: 12 Jan 93 01:04:50 GMT
Distribution: usa
Organization: University of California, San Diego

UCSD has a very strong program in neural networks. Many
departments are directly/indirectly involved.

Some of the prominent researchers are as follows:

Biology, Computational Neuroscience
	Terrence Sejnowski, Allen Selverston 

Cognitive Science
	 Jeffrey Elman,  David Zipser

Economics
	Halbert White, Maxwell Stinchcombe

Computer Science
	Gary Cottrell, Rick Belew, R Paturi

Electrical Engineering
	Robert Hecht-Nielsen, Kenneth Kreutz-Delgado,
	B. Rao, and quite a few others.

Philosophy
	Paul Churchaland, Patricia Churchland

I am sure there are others, that I have missed out. 

UCSD also has an Institute for Neural Computation. Also, a lot of
activity takes place at the near by Salk Institute.
From: peyote@umiacs.umd.edu (Gary W. Flake)
Newsgroups: comp.ai.neural-nets
Subject: RBF basis widths (Looking for reference)
Date: 7 Jan 93 17:43:27 GMT
Distribution: usa
Organization: UMIACS, University of Maryland, College Park, MD 20742




I recently heard that a group at MIT has come up with an ``optimized''
technique for setting the basis widths in an RBF net given a
``reasonable'' set a basis centers.

I imagine this would have to make some assumptions about the target
space.  Does anyone know what this reference is?

Thanks,
Gary
-- 
Spoken: Gary W. Flake  Domain: peyote@umiacs.umd.edu  UUCP: uunet!mimsy!peyote
Phone: +1-301-405-6757 USPS: UMIACS, U. of Maryland,  College Park, MD 20742
Xref: sparky comp.ai.neural-nets:4695 comp.text.tex:14620
From: mdp@eng.cam.ac.uk (Mark Plumbley)
Newsgroups: comp.ai.neural-nets,comp.text.tex
Subject: Does anyone have a LaTeX style file for IEE ANN'93 (UK) Conference?
Date: 5 Jan 93 14:10:54 GMT
Reply-To: M.Plumbley@oak.cc.kcl.ac.uk
Organization: Centre for Neural Networks, King's College London

I'm looking for a LaTeX style file for the IEE (sic) ANN'93 Neural Networks
conference being held in Brighton, UK in April this year.

I am aware of ICASSP.STY and FRONTIERS.STY which are for IEEE
conferences (and IEEETR.STY etc. for IEEE transaction submissions) but
I've not found one for the UK's IEE conference proceedings.

Anyone seen one?  Please Email and I will summarise.

Mark.

--
-------------------------------------------------------------------------
Dr. Mark D. Plumbley                          M.Plumbley@oak.cc.kcl.ac.uk
                                                  Tel: +44 (0)71 873 2241
Centre for Neural Networks                        Fax: +44 (0)71 873 2017
Newsgroups: comp.ai.neural-nets
From: danony@aix.rpi.edu (Yaron Danon)
Subject: Is there any Backpop NN that runs under windows 3.1
Organization: Rensselaer Polytechnic Institute, Troy, NY
Date: Wed, 6 Jan 1993 01:23:54 GMT
From: maa@edsdrd.eds.com (Matthew Maa)
Newsgroups: comp.ai.neural-nets
Subject: Fuzzy logic short course information needed
Date: 5 Jan 93 12:03:52
Organization: EDS R&D
Distribution: world
NNTP-Posting-Host: maths7.mth.msu.edu

Back a while ago, there was a posting regarding a fuzyy logic
short course to be offered at several cities across the U.S.
I am particular interested in the course schedule to be held
in Detroit or Chicago.  If some of you have the information,
could you email me a copy of the schedule and registration
form?  Thanks in advance.

Regards,

Matthew Maa
maa@edsdrd.eds.com

Newsgroups: comp.ai.neural-nets
From: eesnyder@boulder.Colorado.EDU (Eric E. Snyder)
Subject: Weight update function: input -> hidden layer
Organization: University of Colorado, Boulder
Date: 12 Jan 93 19:39:56 GMT

Ok, I have been pulling my hair out for a couple of days now...

I am trying to write a really simple feed forward back prop net and 
it just isn't working properly.  Everything seems pretty straight
forward except for the function that calculates the change in weights
for the weights connecting the inputs to the (single) hidden layer.

Starting from the formulas in Hertz, Krogh and Palmer, 6.9 and 6.10,
I get the following update rule:


 DeltaWeights[i][j] += Epsilon * Units[j] * (1 - Units[j]) * Weights[i][j] *
                       Output * (1.0 - Output) * (Target[vector_number] - Output) *
                       TrainingInputs[vector_number][i];


Where Units[j] =          the activation of hidden unit j
      Weights[i][j] =     weight connecting input i to hidden unit j
      Output =            value of the (single) output unit
      Target =            target output
      TrainingInputs[i] = input i


Am I screwing this up?  Any comments or suggestions would be greatly 
appreciated.   

Many, many thanks... 

---------------------------------------------------------------------------
TTGATTGCTAAACACTGGGCGGCGAATCAGGGTTGGGATCTGAACAAAGACGGTCAGATTCAGTTCGTACTGCTG
Eric E. Snyder                            
Department of MCD Biology              ...making feet for childrens' shoes.
University of Colorado, Boulder   
Boulder, Colorado 80309-0347
LeuIleAlaLysHisTrpAlaAlaAsnGlnGlyTrpAspLeuAsnLysAspGlyGlnIleGlnPheValLeuLeu
---------------------------------------------------------------------------
Newsgroups: comp.ai.neural-nets
From: andrzej@bnr.ca (Andrzej Bieszczad)
Subject: Re: SUMMARY&REQUEST: US univ. with NN courses
Organization: Bell-Northern Research Ltd.,
Date: Fri, 8 Jan 1993 14:39:48 GMT


I do not know why, but somehow Center for Adaptive Systems has been
forgotten in this thread. That's at Boston University.

Grossberg, Carpenter, Bullock, Cohen, Mignolla are some of the
professors teaching there.

Very strong in the theory of ANS.


--
==========================================================================
 Andrzej Bieszczad	>> WELCOME TO THE MACHINE - Pink Floyd <<
 Carleton University, Systems & Comp. Engineering, Ottawa, Canada K1S 5B6
 Bell-Northern Research, Ltd., P.O. Box 3511 C, Ottawa, Canada K1Y 4H7
 Phone:	(CU) (613) 788-2600 ext. 5740		(BNR) (613) 763-2259
 Email:	andrzej@BNR.CA
==========================================================================
Newsgroups: comp.ai.neural-nets
Subject: Synthesis of pattern generator
From: pini1@chen.bgu.ac.il (pinchas tandeitnik )
Date: Sat, 9 Jan 1993 01:39:21 GMT
Organization: Ben Gurion University, Beer Sheva, Israel




  Synthesis of pattern generator
  ------------------------------

  I'm interested to encode a nonstationary pulses (from a data base) in
a neural network, to synthesis a generator. The retrieval of the
pulses should be  by different DC level. Any configuration of  neural
networks is suitable. I'll be happy to receive any  ideas and comments.

	thanks
		Pinchas Tandeitnik
Xref: sparky comp.ai.neural-nets:4778 soc.college.grad:2275
From: bernst@husc10.harvard.edu (Noam Bernstein)
Newsgroups: comp.ai.neural-nets,soc.college.grad
Subject: Re: Schools strong in neural nets? (was Request: Neural-Nets-classes in US graduate schools)
Date: 10 Jan 93 09:20:14 GMT
Article-I.D.: husc.bernst.726657614

Caltech		Computation and Neural Systems

Koch, Mead, Hopfield, Bower

						Noam	
						noamb@das.harvard.edu
Xref: sparky comp.ai.neural-nets:4752 sci.math.stat:2729
From: goeppert@peanuts.informatik.uni-tuebingen.de (Josef Goeppert)
Newsgroups: comp.ai.neural-nets,sci.math.stat
Subject: Separation on non-linear and non-convolutive mixtures
Date: 8 Jan 1993 12:38:07 GMT
Organization: "Lehrstuhl fuer Technische Informatik, Uni Tuebingen"
Distribution: world
NNTP-Posting-Host: charlie.informatik.uni-tuebingen.de
Keywords: artificial neural networks, separation of sources


Hello,

I am working in the domain of multi-component analysis of
sensory output signals. My problem is to seperate different
influences by observation of sensory output. Unfortunately,
the Transfer Function of these sensors is non-linear (sine-like).
The exact nonlinearity of the sensors is unknown and
varies frome one sensor to another. I am trying to solve the
problem by neural nets, using supervised Backpropagation
Net or neural aproches of clustering methods (like Kohonen's SOM),
it would be better to use smaller and non-supervised methods.

Linear approaches like Principal Component Analysis (PCA)
and Independ Component Analysis (INCA) or the neural
inplementation of PCA (Oja) and INCA (Jutten/Herault)
are not suitable because of big non-linearities.

In order to come to smaller size and non-supervised
training, I am locking for other architecture or for
mathematical principles for the separation of sources
in non-linear and non-convolutive case. Highly redundant
input-data (in my case hundreds components to
seperate less than ten sources), may allow nevertheless
the differentiation and the estimation of the
non-linearities. Kohonens Self-Organizing-Map turned
out to do so, but with huge number of neurons.

I would be happy for ideas and pointes to neural
approaches or statistical methods for this problem.

Thanks in advance

--------------------------------------------------------------------------
Josef Goeppert                      | Tel:    (49) 7071 29 5940
Wilhelm Schickard Institut          | Fax:    (49) 7071 29 5958
University of Tuebingen             | E-mail: goeppert@peanuts.
Sand 13, D-W7400 Tuebingen, Germany |         informatik.uni-tuebingen.de
--------------------------------------------------------------------------

Newsgroups: comp.ai.neural-nets
From: joerges@sonne.zedat.fu-berlin.de (J. Joerges)
Subject: Re: Is there any Backpop NN that runs under windows 3.1
Organization: Free University of Berlin, Germany
Date: Tue, 12 Jan 1993 11:40:01 GMT

Yes:  ExploreNet 3000 from Hecht Nielsen Company, San Diego, USA
It ist quite a good program with many differnet paradigms,
including backprop, ART, Hopfield, Brain state in a box, ...
-- 
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
   Jasdan Joerges - Free University Berlin - Institut fuer Neurobiologie
                      joerges@sonne.zedat.fu-berlin.de
   phone: +49-30-8386537    fax: +49-30-8385455    home: +49-30-6182727
From: finin@cs.umbc.edu (Timothy Finin)
Newsgroups: comp.ai.neural-nets
Subject: IEEE CAIA-93 Advance Program & Registration Information
Date: 12 Jan 1993 17:13:33 -0500
Organization: Computer Science, University of Maryland Baltimore County
Distribution: world
NNTP-Posting-Host: cujo.cs.umbc.edu
Summary: send email to CAIA@CS.UMBC.EDU for more info on Applied AI Conf.
Keywords: Applied Articial Intelligence

The advance program and registration information for CAIA-93 (the 9th IEEE
Conference on Artificial Intelligence for Applications) is now available.
The conference will be held March 1-5, 1993 at the Disney Yacht Club & Beach
Club Resort Hotel in Orlando, Florida, USA.

To get the advance program and registration information by email, send a
message to CAIA@CS.UMBC.EDU.  For additional information, contact: CAIA'93
Registration, IEEE Computer Society, 1730 Mass. Ave., N.W., Washington, DC
20036-1992 Voice:202-371-1013; Fax:202-728-0884, email:M.KABZA@COMPMAIL.COM.


Newsgroups: comp.ai.neural-nets
From: qmdbms@gsusgi2.gsu.edu (Brian Schott)
Subject: Re: Fuzzy logic short course information needed
Organization: Georgia State University
Date: Wed, 6 Jan 1993 20:45:11 GMT


Detroit, Mar 17-19
U of NM
College of Engineering
(505) 277-0435
(800) 292-7051


-- 
Brian Schott/Decision Sciences Dept.             qmdbms@gsusgi2.gsu.edu
College of Business Administration                         404-651-4070
Georgia State University                  interests: approx. reasoning,
Atlanta, Georgia USA 30303-3083     (B=)       decision support systems
Newsgroups: comp.ai.neural-nets
From: aschoorl@engr.UVic.CA (Andre  Schoorl)
Subject: How to get started in neural nets
Reply-To: aschoorl@engr.UVic.CA
Organization: University of Victoria, Victoria, BC, Canada
Date: Fri, 8 Jan 93 20:49:58 GMT

I know you may here this often but I just subscribed to this group.
I am wondering if there are any good books, ftp sites, etc... I should know.

Thanks

-----------------------------------------------------------------------------------
Andre Schoorl				Computer Engineering Student
aschoorl@engr.uvic.ca			University of Victoria, Canada.

Newsgroups: comp.ai.neural-nets
From: sci240s@monu6.cc.monash.edu.au (Wey Jing HO)
Subject: Where to ftp Planet?
Organization: Monash University, Melb., Australia.
Date: Tue, 12 Jan 1993 15:16:34 GMT



Where can I ftp the latest version of Planet (formerly known as SunNet available
from bouldert.colorado.edu)?

Thank you.

-- 
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
>Wey Jing Ho    Tel: 61-3-565-3615   E-mail : sci240s@monu6.cc.monash.edu.au<
>  Physics Dept, Monash Univ, Wellington Rd, Clayton, VIC 3168, AUSTRALIA   <
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Xref: sparky comp.ai.neural-nets:4768 rec.travel:17488
Newsgroups: comp.ai.neural-nets,rec.travel
Subject: NN Research Groups in San Francisco Area?
From: edwin@ccu1.aukuni.ac.nz (Edwin Ng)
Date: Fri, 8 Jan 1993 22:29:45 GMT
Organization: University of Auckland, New Zealand.

Hi fellow netters.  I'll be attending ICNN'93 and FUZZ-IEEE'93 
in San Francisco.  As part of my application for a travel grant
I'd like to visit any NN Research Groups/Institutions in the 
area as well.  I wouldn't mind going as far as Stanford.

Coming from New Zealand, I have no idea what is around the
area so I'd appreciate and advice and info on who to contact.
Thanks in advance.

Edwin

-- 
-----------------------------------------------------
* Edwin Ng (edwin@ccu1.aukuni.ac.nz)                *
* E&E Engineering, University of Auckland           *
* Private Bag 92019, Auckland, NEW ZEALAND          *
From: jberger@asterix.drev.dnd.ca (Jean Berger)
Newsgroups: comp.ai.neural-nets
Subject: Dynamic Optimization using ANNs - Refs wanted
Summary: Request for dynamic optimization models and techniques using ANNs
Date: 12 Jan 93 15:33:27 GMT
Organization: Defence Research Establishment, Valcartier

Look for references and recent experiment using ANNs to solve discrete dynamic
optimization problems. Traditionally, Hopfield NNs-like systems were used
to solve classical (static) discrete optimization problem. 
          Objective Fctn = f({X(i)}); X(i) = 0 or 1 

As an extension to the approach, an evolutionnary framework needs to be 
introduced to incorporate time dependency in decision variables X(i): 
		  Objective Fctn = f({X(i,time)}); X(i,time) = 0 or 1; time in [0,T]

The nature of this problem is much more complex by the time variable to be
included in the NN model.
Should time be discretization-based, state-based (for asynchronous system
elements), etc. in the ANN model ? Any references ?

If there is sufficient interest on the matter a summary will be posted later.

Thanks in advance,

==========================================================================
jean berger Eng.        Defence Research Establishment
						Command and Control Division
						Information & Decision Systems Section
						C.P. 8800 Courcelette, Quebec
						Canada, G0A - 1R0
						PHONE: (418) 844-4645
						FAX:   (418) 844-4538

E-MAIL: ARPA:  jeanb@quebec.drev.dnd.ca
=========================================================================
~
Newsgroups: comp.ai.neural-nets
From: jcn@jcnpc.cmhnet.org (James C. Nugen)
Subject: Stereo vision NN?
Organization: Homebrew Virtual Reality Labs
Date: Wed, 06 Jan 1993 17:14:54 GMT

The local newspaper ran a article about the big scientific developments
during 1992.  One of the things mentioned was a self-organizing NN for
stereo vision and object recognition.  Has anyone heard the specifics
about this and can you point me to any papers about it?

Thanks,
-- 
James C. Nugen
jcn@jcnpc.cmhnet.org
Newsgroups: comp.ai.neural-nets
From: erik@til.com (Erik Horstkotte)
Subject: Re: Togai Infralogic -- Address Requested
Reply-To: erik@til.com
Organization: Togai InfraLogic, Inc.
Date: Mon, 4 Jan 1993 18:46:49 GMT

In article 6187@worldbank.org, sthomas@nimbus.worldbank.org (Sidney F. Thomas) writes:
>Subject line says it all.  Grateful if some netter could give me
>a street address and contact for Togai Infralogic.

Togai InfraLogic, Inc.
5 Vanderbilt
Irvine, CA 92718
+1 714 975 8522

Contact: Vivian Tsou, Customer Service Coordinator.
---
Erik Horstkotte, Togai InfraLogic, Inc.
The World's Source for Fuzzy Logic Solutions (The company, not me!)
erik@til.com, gordius!til!erik - (714) 975-8522
info@til.com for info, fuzzy-server@til.com for fuzzy mail-server

Newsgroups: comp.ai.neural-nets