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 OneKey Textbooks

Computational Intelligence: An Introduction

by: Engelbrecht, A. P.

On-line Price: $71.95 (includes GST)

Hardcover package 310

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Retail Price: $109.95

Publisher: John Wiley & Sons,2002/10/25

Category: ARTIFICIAL INTELLIGENCE Level: B/I

ISBN: 0470848707
ISBN13: 9780470848708

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This question causes even more debate than the definitions of intelligence do.


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


  This book presents a systematic introduction to the fundamentals of computational intelligence, including in-depth treatments of the more important and most frequently used techniques. Numerous explanations and exercises allow readers to implement the different techniques themselves, and to apply these techniques to solve real-world, complex problems.


  Key features include:


  State-of the-art coverage of the most recent developments in computational intelligence


  Balanced treatment of the different computational intelligence paradigms


  Complete algorithms in pseudo-code for easy implementation


  Exercises to stimulate thought and to breed new ideas


  Easily accessible style: ideal for readers new to the subject as well

This comprehensive reference ranging from artificial neural networks to swarm intelligence will prove essential reading for undergraduates on third or fourth year and post-graduate courses in computer science as well as researchers new to the field.

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.