Yeung, Daniel S.
Sensitivity Analysis for Neural Networks
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 Knowledge
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)
- Yeung, Daniel S.
- Cloete, Ian
- Shi, Daming
- Ng, Wing W. Y.
- Publisher
- Springer
- Publication year
- 2010
- Language
- en
- Edition
- 1
- Imprint
- Springer Berlin Heidelberg - Berlin, Heidelberg
- Series
- Natural Computing Series
- Page amount
- 7 pages
- Category
- Information Technology, Telecommunications
- Format
- Ebook
- eISBN (PDF)
- 9783642025327
