Galushkin, Alexander I.
Neural Networks Theory
1. Introduction
Part I. The Structure of Neural Networks
2. Transfer from the Logical Basis of Boolean Elements “AND, OR, NOT” to the Threshold Logical Basis
3. Qualitative Characteristics of Neural Network Architectures
4. Optimization of Cross Connection Multilayer Neural Network Structure
5. Continual Neural Networks
Part II. Optimal Models of Neural Networks
6. Investigation of Neural Network Input Signal Characteristics
7. Design of Neural Network Optimal Models
8. Analysis of the Open-Loop Neural Networks
9. Development of Multivariable Function Extremum Search Algorithms
Part III. Adaptive Neural Networks
10. Neural Network Adjustment Algorithms
11. Adjustment of Continuum Neural Networks
12. Selection of Initial Conditions During Neural Network Adjustment — Typical Neural Network Input Signals
13. Analysis of Closed-Loop Multilayer Neural Networks
14. Synthesis of Multilayer Neural Networks with Flexible Structure
15. Informative Feature Selection in Multilayer Neural Networks
Part IV. Neural Network Reliability and Diagnostics
16. Neural Network Reliability
17. Neural Network Diagnostics
18. Methods of Problem Solving in the Neural Network Logical Basis
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- Author(s)
- Galushkin, Alexander I.
- Publisher
- Springer
- Publication year
- 2007
- Language
- en
- Edition
- 1
- Category
- Technology, Energy, Traffic
- Format
- Ebook
- eISBN (PDF)
- 9783540481256