9780470035610

Computational Intelligence : An Introduction

by
  • ISBN13:

    9780470035610

  • ISBN10:

    0470035617

  • Edition: 2nd
  • Format: Hardcover
  • Copyright: 2007-11-19
  • Publisher: WILEY
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Summary

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation.Engelbrecht provides readers with a wide knowledge of Computational Intelligence (CI) paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without any difficulty through a single Java class as part of the CI library.Key features of this second edition include: A tutorial, hands-on based presentation of the material. State-of-the-art coverage of the most recent developments in computational intelligence with more elaborate discussions on intelligence and artificial intelligence (AI). New discussion of Darwinian evolution versus Lamarckian evolution, also including swarm robotics, hybrid systems and artificial immune systems. A section on how to perform empirical studies; topics including statistical analysis of stochastic algorithms, and an open source library of CI algorithms. Tables, illustrations, graphs, examples, assignments, Java code implementing the algorithms, and a complete CI implementation and experimental framework.Computational Intelligence: An Introduction, Second Edition is essential reading for third and fourth year undergraduate and postgraduate students studying CI. The first edition has been prescribed by a number of overseas universities and is thus a valuable teaching tool. In addition, it will also be a useful resource for researchers in Computational Intelligence and Artificial Intelligence, as well as engineers, statisticians, operational researchers, and bioinformaticians with an interest in applying AI or CI to solve problems in their domains.Check out http://www.ci.cs.up.ac.za for examples, assignments and Java code implementing the algorithms.

Table of Contents

List of Figures
Preface
Introduction
Introduction to Computational Intelligence
Artificial Neural Networks
The Artificial Neuron
Supervised Learning Neural Networks
Unsupervised Learning Neural Networks
Radial Basis Function Networks
Reinforcement Learning
Performance Issues (Supervised Learning)
Evolutionary Computing
Introduction to Evolutionary Computing
Genetic Algorithms
Genetic Programming
Evolutionary Programming
Evolutionary Strategies
Differential Evolution
Cultural Evolution
Coevolution
Swarm Intelligence
Particle Swarm Optimization
Ant Colony Optimization
Fuzzy Systems
Fuzzy Inferencing Systems
Fuzzy Controllers
Rough Sets
Conclusion
Bibliography
Further Reading
Acronyms
Symbols
Index
Table of Contents provided by Publisher. All Rights Reserved.

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