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Concepts of Soft Computing

Overview of attention for book
Cover of 'Concepts of Soft Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Intervals
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    Chapter 2 Fuzzy Sets
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    Chapter 3 Fuzzy Numbers
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    Chapter 4 Fuzzy Relations
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    Chapter 5 Fuzzy Functions
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    Chapter 6 Fuzzy Differentiation and Integration
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    Chapter 7 Defuzzification
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    Chapter 8 Interval System of Linear Equations
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    Chapter 9 Interval Eigenvalue Problems
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    Chapter 10 Artificial Neural Network Terminologies
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    Chapter 11 McCulloch–Pitts Neural Network Model
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    Chapter 12 Hebbian Learning Rule
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    Chapter 13 Perceptron Learning Rule
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    Chapter 14 Delta Learning Rule and Backpropagation Rule for Multilayer Perceptron
Attention for Chapter 14: Delta Learning Rule and Backpropagation Rule for Multilayer Perceptron
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