Genetic Algorithms and Fuzzy Logic Systems : Soft Computing Perspectives

Soft Computing Perspectives

By: Elie Sanchez (Editor), Takanori Shibata (Editor), Lotfi A Zadeh (Editor)

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Hardcover | 1 December 1996

At a Glance

Hardcover
252 Pages

Dimensions(cm)
22.86 x 16.51 x 1.91

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Since fuzzy logic was introduced by Lotfi Zadeh in the mid-1960s, and genetic algorithms by John Holland in the early 1970s, these two fields have widely been the subjects of academic research. These two fields, with neurocomputing techniques, are recognized as a major part of soft computing. This collection aims to show how this group of computing techniques might produce human-centred intelligent systems in the future.

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Foreword
Preface
Helicopter Flight Control with Fuzzy Logic and Genetic Algorithms	p. 1
Skill Acquisition and Skill-Based Motion Planning for Hierarchical Intelligent Control of a Redundant Manipulator	p. 19
A Creative Design of Fuzzy Logic Controller Using a Genetic Algorithm	p. 37
Automatic Fuzzy Tuning and Its Applications	p. 49
An Evolutionary Algorithm for Fuzzy Controller Synthesis and Optimization Based on SGS-Thomson's W.A.R.P. Fuzzy Processor	p. 71
On-Line Self-Structuring Fuzzy Inference Systems for Function Approximation	p. 91
Fuzzy Classification Based on Adaptive Networks and Genetic Algorithms	p. 113
Intelligent Systems for Fraud Detection	p. 133
Genetic Algorithms for Query Optimization in Information Retrieval: Relevance Feedback	p. 155
Fuzzy Fitness Assignment in an Interactive Genetic Algorithm for a Cartoon Face Search	p. 175
An Evolutionary Approach to Simulate Cognitive Feedback Learning in Medical Domain	p. 193
A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography: 1989-1995	p. 209
Table of Contents provided by Blackwell. All Rights Reserved.

Genetic Algorithms and Fuzzy Logic Systems : Soft Computing Perspectives

Soft Computing Perspectives

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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The Case Against Superintelligent AI

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Genesis

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Multidisciplinary Perspectives on End-User Development and Generative AI

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The Shortest History of AI

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Concepts, Tools, and Techniques to Build Intelligent Systems

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