| Description |
xx, 396 pages : illustrations ; 24 cm |
| Contents |
Contents Pt. I. The Structure of Neural Networks -- 1. Transfer from the Logical Basis of Boolean Elements "And, Or, Not" to the Threshold Logical Basis -- 2. Qualitative Characteristics of Neural Network Architectures -- 3. Optimization of Cross Connection Multilayer Neural Network Structure -- 4. Continual Neural Networks -- Pt. II. Optimal Models of Neural Networks -- 5. Investigation of Neural Network Input Signal Characteristics -- 6. Design of Neural Network Optimal Models -- 7. Analysis of the Open-Loop Neural Networks -- 8. Development of Multivariate Function Extremum Search Algorithms -- Pt. III. Adaptive Neural Networks -- 9. Neural Network Adjustment Algorithms -- 10. Adjustment of Continuum Neural Networks -- 11. Selection of Initial Conditions During Neural Network Adjustment - Typical Neural Network Input Signals -- 12. Analysis of Closed-Loop Multilayer Neural Networks -- 13. Synthesis of Multilayer Neural Networks with Flexible Structure -- 14. Informative Feature Selection in Multilayer Neural Networks -- Pt. IV. Neural Network Reliability and Diagnostics -- 15. Neural Network Reliability -- 16. Neural Network Diagnostics -- Pt. V. Summary -- 17. Methods of Problem Solving in the Neural Network Logical Basis |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Neural networks (Computer science)
|
| LC no. |
2007931627 |
| ISBN |
9783540481249 (hardcover : alk. paper) |
|
