Computational Intelligence: An Introduction

Overview

Can computers be intelligent?

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.

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Overview

Can computers be intelligent?

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.

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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
Pt. I Introduction 1
1 Introduction to Computational Intelligence 3
Pt. II Artificial Neural Networks 15
2 The Artificial Neuron 17
3 Supervised Learning Neural Networks 27
4 Unsupervised Learning Neural Networks 55
5 Radial Basis Function Networks 75
6 Reinforcement Learning 79
7 Performance Issues (Supervised Learning) 83
Pt. III Evolutionary Computing 121
8 Introduction to Evolutionary Computing 123
9 Genetic Algorithms 133
10 Genetic Programming 147
11 Evolutionary Programming 155
12 Evolutionary Strategies 161
13 Differential Evolution 167
14 Cultural Evolution 171
15 Coevolution 177
Pt. IV Swarm Intelligence 183
16 Particle Swarm Optimization 185
17 Ant Colony Optimization 199
Pt. V Fuzzy Systems 209
18 Fuzzy Systems 211
19 Fuzzy Inferencing Systems 225
20 Fuzzy Controllers 233
21 Rough Sets 239
22 Conclusion 245
Bibliography 247
Further Reading 269
A: Acronyms 271
B: Symbols 273
Index 281
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