Computational Intelligence: An Introduction, 1st Edition (Hardback) book cover

Computational Intelligence

An Introduction, 1st Edition

By Witold Pedrycz

CRC Press

304 pages

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Hardback: 9780849326431
pub: 1997-09-08
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Description

Computational intelligence as a new development paradigm of intelligent systems has resulted from a synergy between neural networks, fuzzy sets, and genetic computations. This emerging area, even at its very earliest stage, has already attracted the attention of top researchers and practitioners. Computational Intelligence: An Introduction delivers a highly readable and fully systematic treatment of the fundamentals of CI, along with the clear presentation of sound and comprehensive analysis and design practices.

This text pulls together much of the scattered information written about this emerging field. Most publications dealing with CI are highly specialized and concentrate narrowly on the symbiosis between NN, FS, and GAs. Computational Intelligence: An Introduction bridges the gap between all three areas and CI. This is an important text for anyone engaged in any way with genetic algorithms, fuzzy sets, neural networks, and computational intelligence.

Table of Contents

Chapter 1. Preliminaries

Computational Intelligence: Its Inception and Research Agenda

Organization and Readership

References

Chapter 2. Neural Networks and Neurocomputing

Introduction

Generic Models of Computational Neurons

Architectures of Neural Networks - A Basic Taxonomy

Learning in Neural Networks

Selected Classes of Learning Methods

Generalization Abilities of Neural Networks

Enhancements of Gradient-Based Learning in Neural Networks

Concluding Remarks

Problems

References

Chapter 3. Fuzzy Sets

Introduction

Basic Definition

Types of Membership Functions

Characteristics of a Fuzzy Set

Membership Function Determination

Fuzzy Relations

Set Theory Operations and Their Properties

Triangular Norms

Triangular Norms as the Models of Operations on Fuzzy Sets

Information-Based Characteristics of Fuzzy Sets

Matching Fuzzy Sets

Numerical Representation of Fuzzy Sets

Rough Sets

Rough Sets and Fuzzy Sets

Shadowed Sets

The Frame of Cognition

Probability and Fuzzy Sets

Hybrid Fuzzy-Probabilistic Models of Uncertainty

Conclusions

Problems

References

Chapter 4. Computations with Fuzzy Sets

Introductory Remarks

The Extension Principle

Fuzzy Numbers

Fuzzy Rule-Based Computing

Fuzzy Controller and Fuzzy Control

Rule-Based Systems with Nonmonotonic Operations

Conclusions

Problems

References

Chapter 5. Evolutionary Computing

Introduction

Gradient-Based and Probabilistic Optimization as Examples of Single-Point Search Techniques

Genetic Algorithms - Fundamentals and a Basic Algorithm

Schemata Theorem - A Conceptual Backbone of GAs

From Search Space to GA Search Space

Exploration and Exploitation of the Search Space

Experimental Studies

Classes of Evolutionary Computation

Conclusions

Problems

References

Chapter 6. Fuzzy Neural Systems

Introduction

Neurocomputing in Fuzzy Set Technology

Fuzzy Sets in the Technology of Neurocomputing

Fuzzy Sets in the Preprocessing and Enhancements of Training Data

Uncertainty Representation in Neural Networks

Neural Calibration of Membership Functions

Knowledge-Based Learning Schemes

Linguistic Interpretation of Neural Networks

Hybrid Fuzzy Neural Computing Structures

Conclusions

Problems

References

Chapter 7. Fuzzy Neural Networks

Logic-Based Neurons

Logic Neurons and Fuzzy Neural Networks with Feedback

Referential Logic-Based Neurons

Learning in Fuzzy Neural Networks

Case Studies

Conclusions

Problems

References

Chapter 8. CI Systems

Introduction

Fuzzy Encoding in Evolutionary Computing

Fuzzy Crossover Operations

Fuzzy Metarules in Genetic Computing

Relational Structures and Their Optimization

The Satisfiability Problem

Evolutionary Rule-Based Modeling of Analytical Relationships

Genetic Optimization of Neural Networks

Genetic Optimization of Rule-Based Systems

Conclusions

Problems

References

Index

Subject Categories

BISAC Subject Codes/Headings:
COM059000
COMPUTERS / Computer Engineering