Computational Intelligence
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Computational Intelligence: An Introduction

Computational Intelligence: An Introduction


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About the Book

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.

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.

About the Author :
Andries P. Engelbrecht is a full professor in Computer Science at the University of Pretoria, South Africa. He holds a PhD from the University of Stellenbosch and has been actively involved in the research of computational intelligence since 1992. His group performs research in artificial neural networks, swarm intelligence, evolutionary computation, artificial immune systems, data and text mining, image analysis and multi-agent systems. The research done is both theoretical where the objective is to develop new algorithms or to improve existing algorithms, and also application oriented, making use of techniques from computational intelligence to solve real-world problems. Professor Engelbrecht is actively involved in consultation to industry and contract research for industry.

Review :
"...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: 9780470858486
  • Publisher: John Wiley & Sons Inc
  • Publisher Imprint: John Wiley & Sons Inc
  • Language: English
  • Sub Title: An Introduction
  • ISBN-10: 0470858486
  • Publisher Date: 17 Oct 2003
  • Binding: Digital (delivered electronically)
  • No of Pages: 310


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