New Intelligent Hybrid Systems Book

[S.Khebbal@cs.ucl.ac.uk]

NEW BOOK ANNOUCEMENT

INTELLIGENT HYBRID SYSTEMS

S. GOONATILAKE and S. KHEBBAL
University College London

There is now a growing realisation in the intelligent systems community that
many complex problems require hybrid solutions. Increasingly hybrid systems 
combining genetic algorithms, fuzzy logic, neural networks, and expert 
systems are proving their effectiveness in a wide variety of real-world 
problems. This timely book brings together leading researchers from the 
United States, Europe and Asia who are pioneering the theory and application
of Intelligent Hybrid Systems.

The book provides a definition of hybrid systems, summarises the current 
state of the art, and details innovative methods for integrating different 
intelligent techniques.  Application examples are drawn from domains 
including  industrial control, financial and business modelling, and 
cognitive simulation. The book is also intended to equip researchers, 
application developers and managers with key reference and resource material
for the successful development of hybrid systems.

CONTENTS:
========

Chap 1: Intelligent Hybrid Systems : Issues, Classes and Future Trends
	- Suran Goonatilake & Sukhdev Khebbal, University College London, UK. 

PART ONE: FUNCTION-REPLACING HYBRIDS
====================================

Chap 2: Fuzzy Controller Synthesis with Neural Network Process Models 
	- Wendy Foslien & Tariq Samad, Honeywell SSDC, California, USA.

Chap 3: Replacing the Pattern Matcher of a Expert System with a Neural Network
	- Henry Tirri, Univ. of Helsinki, Finland.

Chap 4: Genetic Algorithms and Fuzzy Logic for Adaptive Process Control 
	- Charles Karr, U.S. Bureau of Mines, USA.

Chap 5: Neural Network Weight Selection Using Genetic Algorithms 
	- David Montana, BBN Systems & Technologies Inc, USA.

PART TWO: INTERCOMMUNICATING HYBRIDS
====================================

Chap 6: A Unified Approach For Engineering Design 
	- David Powell, Michael Skolnick & Shi Shing Tong, GEC, USA.

Chap 7: A Hybrid System for Data Mining 
	- Randy Kerber, Brian Livezey, & Evangelos Simoudis, Lockheed AI 
	  Center, Palo Alto, USA.

Chap 8: Using Fuzzy Pre-processing with Neural Networks for Chemical Process
	Diagnostic Problems	   	 	
	- Casimer Klimasaukas, NeuralWare, USA.

Chap 9: A Multi Agent Approach for the Integration of Neural Networks and 
	Expert Systems 
	- Andreas Scherer & Gunter Schlageter, Praktische Informatik, 
	  FernUniversitaet, Hagen, Germany.

PART THREE: POLYMORPHIC HYBRIDS
===============================

Chap 10: Integrating Symbol Processing Systems and Connectionist Networks 
	 - Vasant Honavar & Leonard Uhr, Iowa State University & Dept of 
	   Computer Science, University of Wisconsin-Madison, USA.

Chap 11: Reasoning with Rules and Variables in Neural Networks 
	 - Venkat Ajjanagadde & Lokendra Shastri, University of Pennsylvania,
	   USA.

Chap 12: The NeurOagent: A Neural Multi-agent Approach for Modelling, 
	 Distributed Processing and Learning 
	 - Khai Minh Pham, InferOne, France.

Chap 13: Genetic Programming of Neural Networks: Theory and Practice 
	 - Frederic Gruau, Grenoble, France.

PART FOUR: DEVELOPING HYBRID SYSTEMS
====================================

Chap 14: Tools and Environments for Hybrid Systems 
	 - Sukhdev Khebbal & Danny Shamhong, University College London, UK.

ISBN 0471 94242 1 	300pp	January 1995 	(Sterling) 29.95/$47.95

John Wiley & Sons Ltd, Baffins Lane, Chichester, West Sussex, PO19 1UD, UK.
(also offices in New York, Brisbane, Toronto, and Singapore)


There is also a World Wide Web page on Intelligent Hybrid Systems at :

http://www.cs.ucl.ac.uk/staff/skhebbal/ihs

and for the Intelligent Hybrid Systems Book at :

http://www.cs.ucl.ac.uk/staff/skhebbal/ihs/ihsbook.html

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#       Sukhdev Khebbal,               |  S.Goonatilke at cs.ucl.ac.uk         #
#       Suran Goonatilake,             |  S.Khebbal at cs.ucl.ac.uk            #
#       Department of Computer Science,|------------------------------------#
#       University College London,     | TELEPHONE NUMBERS :                #
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