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Intelligent Hybrid Systems : Fuzzy Logic, Neural Networks, and Genetic Algorithms - Da Ruan

Intelligent Hybrid Systems

Fuzzy Logic, Neural Networks, and Genetic Algorithms

By: Da Ruan (Editor)

Hardcover

Published: 30th September 1997
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Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this volume.
This book reviews important concepts and models, and focuses on specific methodologies common to fuzzy systems, neural networks and evolutionary computation. The emphasis is on development of cooperative models of hybrid systems. Included are applications related to intelligent data analysis, process analysis, intelligent adaptive information systems, systems identification, nonlinear systems, power and water system design, and many others.
Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms provides researchers and engineers with up-to-date coverage of new results, methodologies and applications for building intelligent systems capable of solving large-scale problems.

`Overall Intelligent Hybrid Systems is an extemely useful book. It is absolutely essential for anyone attempting to keep with recent developments in soft computing, and in some contexts it may serve as an introductory guide.' International Journal General Systems, 29:2

Contributors
Foreword
Editor's Preface
Introduction to Fuzzy Systems, Neural Networks, and Genetic Algorithmsp. 3
A Fuzzy Neural Network for Approximate Fuzzy Reasoningp. 35
Novel Neural Algorithms for Solving Fuzzy Relation Equationsp. 59
Methods for Simplification of Fuzzy Modelsp. 91
A New Approach of Neurofuzzy Learning Algorithmp. 109
Neural Networks in Intelligent Data Analysisp. 133
Data-Driven Identification of Key Variablesp. 161
Applications of Intelligent Techniques in Process Analysisp. 189
Neurofuzzy-Chaos Engineering for Building Intelligent Adaptive Information Systemsp. 209
A Sequential Training Strategy for Locally Recurrent Neural Networksp. 231
Adaptive Genetic Programming for System Identificationp. 255
Nonlinear System Identification with Neurofuzzy Methodsp. 283
A Genetic Algorithm for Mixed-Integer Optimisation in Power and Water System Design and Controlp. 311
Soft Computing Based Signal Prediction, Restoration, and Filteringp. 331
Subject Indexp. 353
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780792399995
ISBN-10: 0792399994
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 354
Published: 30th September 1997
Publisher: Springer
Country of Publication: NL
Dimensions (cm): 23.5 x 15.5  x 2.54
Weight (kg): 1.57