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Yeung, Daniel S.

Sensitivity Analysis for Neural Networks

Yeung, Daniel S. - Sensitivity Analysis for Neural Networks, e-kirja

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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

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

Tekijä(t)
 
 
 
Julkaisija
Springer
Julkaisuvuosi
2010
Kieli
en
Painos
1
Sarja
Natural Computing Series
Sivumäärä
7 sivua
Kategoria
Tietotekniikka, tietoliikenne
Tiedostomuoto
E-kirja
eISBN (PDF)
9783642025327

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