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Mathematical approaches to neural networks /
The subject of Neural Networks is being seen to be coming of age, after its initial inception 50 years ago in the seminal work of McCulloch and Pitts. It is proving to be valuable in a wide range of academic disciplines and in important applications in industrial and business tasks. The progress bei...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; New York :
North-Holland,
1993.
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| Colección: | North-Holland mathematical library ;
v. 51. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo Texto completo |
Tabla de Contenidos:
- Front Cover; Mathematical Approaches to Neural Networks, Volume 51; Copyright Page; Preface; Table of Contents; Chapter 1. Control Theory Approach; Chapter 2. Computational Learning Theory for Artificial Neural Networks; Chapter 3. Time-summating Network Approach; Chapter 4. The Numerical Analysis Approach; Chapter 5. Self-organising Neural Networks for Stable Control of Autonomous Behavior in a Changing World; Chapter 6. On-line Learning Processes in Artificial Neural Networks; Chapter 7. Multilayer Functionals; Chapter 8. Neural Networks: The Spin Glass Approach.