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Yeung, Daniel S.

Sensitivity Analysis for Neural Networks

Yeung, Daniel S. - Sensitivity Analysis for Neural Networks, ebook

28,90€

Ebook, PDF with Adobe DRM
ISBN: 9783642025327
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Table of contents

1. Introduction to Neural Networks
Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W.Y. Ng

2. Principles of Sensitivity Analysis
Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W.Y. Ng

3. Hyper-Rectangle Model
Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W.Y. Ng

4. Sensitivity Analysis with Parameterized Activation Function
Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W.Y. Ng

5. Localized Generalization Error Model
Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W.Y. Ng

6. Critical Vector Learning for RBF Networks
Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W.Y. Ng

7. Sensitivity Analysis of Prior Knowledge1

Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W.Y. Ng

8. Applications
Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W.Y. Ng

Keywords: Computer Science, Artificial Intelligence (incl. Robotics), Control, Robotics, Mechatronics, Statistical Physics, Dynamical Systems and Complexity, Pattern Recognition, Simulation and Modeling, Engineering Design

Author(s)
 
 
 
Publisher
Springer
Publication year
2010
Language
en
Edition
1
Series
Natural Computing Series
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9783642025327

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