From: xm8@sdcc12.ucsd.edu (patrick k. simpson)
Subject: Neural/Fuzzy Applications Course
To: comp-parallel@sdcc12.UCSD.EDU
Followup-To: poster
Keywords: Neural Networks, Fuzzy Systems, Course Announcement
Organization: Clemson University
Date: 27 Jan 93 16:56:17 GMT



                          COURSE ANNOUNCMENT

           APPLICATIONS OF NEURAL NETWORKS AND FUZZY SYSTEMS

Date:
	April 13-15, 1993
	8:30 am - 4:00 pm

Location:
	Catamaran Resort Hotel
	3999 Mission Blvd.
	San Diego, CA
	Ph. 619/488-1081

Registration:
	Tuition $990.00
	Applied Technology Institute
	12960 Linden Church Road
	P.O. Box 1172
	Clarksville, MD 21029
	Phone (410) 531-6034
	Fax (410) 531-1013

Summary:

Applications of Neural Networks and Fuzzy Systems will immerse the
student in the most recent results in neural networks and fuzzy systems
to applications in some of the most difficult problems in computing today.
Application areas will be explored in detail, including sonar, radar,
communications, signal processing, diagnostics, sensor and data fusion,
forecasting, prediction, modelling, and control.  The applications include 
an extensive description of the work conducted in both Europe and Japan, 
as well as a full spectrum of the state-of-the-art in these rapidly growing 
fields.

"Applications of Neural Networks and Fuzzy Systems" serves those
individuals who want to know what neural networks and fuzzy systems are
and how they can be applied.  This course distributes information
that explains what products and services are currently available accompanied
by the instructors recommendations and experience. Each course distributes a
book that provides a broad overview of neural networks and their applications,
survey papers that provide descibe specific applications areas, and
demonstation software (including source code).  In-class demonstrations place
the student as close to real-world applications as possible without actually
going into the laboratory.

The text, "Artificial Neural Systems:  Foundations, Paradigms,
Applications and Implementations," written by the instructor, will be
provided to all students.

Instructor:

Patrick K. Simpson is a Principal Engineer at ORINCON Corporation, a
small-business dedicated to the application of intelligent systems to
difficult defense-related problems.  Mr. Simpson is an active member of 
the IEEE, having served on the organization committees of several 
international neural network and fuzzy system conferences as well 
as holding several executive positions on the IEEE Neural Networks
Council.  Mr. Simpson was the Program Chairman of the first IEEE Conference
on Neural Networks for Ocean Engineering, a lecturer for the NATO Lecture 
Series dedicated to the application of neural networks to guidance and
control and a member of Who's Who in Science and Engineering. Mr. Simpson
has written several papers on theory and application of neural networks 
and fuzzy systems as well as the book "Artificial Neural Systems: Foundations,
Paradigms, Applications and Implementations."

COURSE OUTLINE:

Applications of Neural Networks and Fuzzy Systems is broken into
three parts that span three intensive, but enjoyable, days. Neural networks
and fuzzy systems are first individually described. In the third part, hybrid
fuzzy neural systems are described and applications are presented.

Part One:  Neural Networks.

* A broad overview of neural networks.  What are neural networks:
  Why are they so appealing:  What can they do?  What can't they do?

* Neural Network Paradigms.  The fundamental components and
  nomenclature.

* Neural Network Design Methodology.  A sequence of design steps is
  developed that will allow an engineer or scientist to easily apply 
  neural networks.

* Neural Network Complexity Analysis.  Trade-Offs are examined, such
  as:  size vs. speed, training time vs. run-time, and generalization
  vs. memorization.

* Sonar Applications.  Application areas include:  beamforming,
  noise cancellation, feature extraction, detection, and classification.

* Communication Applications.  Application areas include:  adaptive
  equalization, network control, data compression, error correction, and
  multi-user detection.

* Radar Applications.  Applications include clutter rejection, signal 
  classification, deinterleaving, and emmitter identification.

* Diagnostic Applications.  Historical diagnostic vs. model-based
  diagnostics.

* Forecasting, Prediction, and Modelling.  Applications and
  techniques will include chaotic time-series prediction,
  forecasting environmental phenomena, and financial market prediction
  (stocks, commodities, etc.).

* Sensor and Data Fusion.  Different methods of fusion.  Applications to
  surveillance, control, and diagnotistics.

* Software and Hardware Review.  A review of the currently available
  software and hardware that includes manufacturer's demo disks and
  ordering information.  A complete listing of shareware software
  will be provided.

Part Two:  Fuzzy Systems.

* Introduction to Fuzzy Systems.  Answers to some fundamental
  questions, like:  What is a fuzzy system:  How is fuzzy different
  from probabilistic?  Why use a fuzzy system?

* Fuzzy Control Systems.  Applications will be described, including:
  auto-focusing cameras and aircraft control.

* Fuzzy Expert Systems.  Applications to commercial appliances, data
  fusion, and decision aides.

* Software and Hardware Review.  A review of currently available
  software and hardware that includes manufacturer's demo disks and
  ordering information.

Part Three:  Fuzzy Neural Systems.

* Methods of synergistically combining neural networks and fuzzy
  systems.  Neural networks and fuzzy systems can be effectively combined
  to provide a more competent system.

* Fuzzy Neural Control.  Several exmples are provided that demonstrate a 
  natural bridge between the two technologies.

* Fuzzy Neural Pattern Clustering and Classification.  The state-of-the-art
  in pattern recognition lies in the synergism of these two technologies.  A
  detailed description of several approaches will be provided.


For Immediate Registration Phone (410) 531-6034 or Mail Check or
Purchase Order to Applied Technology Institute, 12960 Linden Church Road,
P.O. Box 1172, Clarksville, MD 21029 Fax (410) 531-1013


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