Table of Contents

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   Book Overview
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   Chapter 1 Introduction to Computational Intelligence
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   Chapter 2 Introduction to Neural Networks
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   Chapter 3 Threshold Logic Units
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   Chapter 4 General Neural Networks
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   Chapter 5 Multilayer Perceptrons
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   Chapter 6 Radial Basis Function Networks
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   Chapter 7 Self-organizing Maps
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   Chapter 8 Hopfield Networks
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    Chapter 9 Recurrent Networks
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    Chapter 10 Mathematical Remarks for Neural Networks
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    Chapter 11 Introduction to Evolutionary Algorithms
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    Chapter 12 Elements of Evolutionary Algorithms
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    Chapter 13 Fundamental Evolutionary Algorithms
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    Chapter 14 Computational Swarm Intelligence
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    Chapter 15 Introduction to Fuzzy Sets and Fuzzy Logic
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    Chapter 16 The Extension Principle
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    Chapter 17 Fuzzy Relations
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    Chapter 18 Similarity Relations
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    Chapter 19 Fuzzy Control
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    Chapter 20 Fuzzy Data Analysis
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    Chapter 21 Introduction to Bayes Networks
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    Chapter 22 Elements of Probability and Graph Theory
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    Chapter 23 Decompositions
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    Chapter 24 Evidence Propagation
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    Chapter 25 Learning Graphical Models
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    Chapter 26 Belief Revision
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    Chapter 27 Decision Graphs