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Sensitivity Analysis for Neural Networks

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Cover of 'Sensitivity Analysis for Neural Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Neural Networks
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    Chapter 2 Principles of Sensitivity Analysis
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    Chapter 3 Hyper-Rectangle Model
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    Chapter 4 Sensitivity Analysis with Parameterized Activation Function
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    Chapter 5 Localized Generalization Error Model
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    Chapter 6 Critical Vector Learning for RBF Networks
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    Chapter 7 Sensitivity Analysis of Prior Knowledge 1
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    Chapter 8 Applications
Attention for Chapter 3: Hyper-Rectangle Model
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