Computational Intelligence: An Introduction

Overview

Computational intelligence is the study of adaptive mechanisms to enable or facilitate intelligent behaviour in complex and changing environments. As such, computational intelligence combines artificial neural networks, evolutionary computing, swarm intelligence and fuzzy systems.

This book presents a highly readable and systematic introduction to the fundamentals of computational intelligence. In-depth treatments of the more important and most frequently used techniques are ...

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Overview

Computational intelligence is the study of adaptive mechanisms to enable or facilitate intelligent behaviour in complex and changing environments. As such, computational intelligence combines artificial neural networks, evolutionary computing, swarm intelligence and fuzzy systems.

This book presents a highly readable and systematic introduction to the fundamentals of computational intelligence. In-depth treatments of the more important and most frequently used techniques are also given. The book provides treatment of computational intelligence in a manner which allows the reader to easily implement the different techniques, and to apply these techniques to solve real-world, complex problems.

Key features include:
* A balanced treatment of the different computational intelligence paradigms
* Inclusion of swarm intelligence
* Coverage of the most recent developments in computational intelligence
* Complete algorithms presented in pseudo-code to allow implementation in any language
* Includes numerous exercises to involve and stimulate the reader further
The careful and considered approach to this key subject makes this book appropriate for both the first-time reader, as well as individuals already active in the field.

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Editorial Reviews

From the Publisher
"...a wonderful book on many of the 'hot topics'...a fascinating read for anyone studying computational intelligence..." (Measurement and Control, Vol 37(5), June 2004)
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Product Details

  • ISBN-13: 9780470848708
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 12/18/2002
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 310
  • Product dimensions: 7.01 (w) x 9.88 (h) x 0.93 (d)

Table of Contents

List of Figures.

Preface.

PART I: INTRODUCTION.

Introduction to Computational Intelligence.

PART II: ARTIFICIAL NEURAL NETWORKS.

The Artificial Neuron.

Supervised Learning Neural Networks.

Unsupervised Learning Neural Networks.

Radial Basis Function Networks.

Reinforcement Learning.

Performance Issues (Supervised Learning).

PART III: EVOLUTIONARY COMPUTING.

Introduction to Evolutionary Computing.

Genetic Algorithms.

Genetic Programming.

Evolutionary Programming.

Evolutionary Strategies.

Differential Evolution.

Cultural Evolution.

Coevolution.

PART IV: SWARM INTELLIGENCE.

Particle Swarm Optimization.

Ant Colony Optimization.

PART V: FUZZY SYSTEMS.

Fuzzy Systems.

Fuzzy Inferencing Systems.

Fuzzy Controllers.

Rough Sets.

CONCLUSION.

Bibliography.

Further Reading.

A: Acronyms.

B: Symbols.

Index.

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