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Implementation techniques /
This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory, neural network design based on the concept of the...
| Cote: | Libro Electrónico |
|---|---|
| Autres auteurs: | |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
San Diego, Calif. :
Academic Press,
©1998.
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| Collection: | Neural network systems, techniques and applications ;
v. 3. |
| Sujets: | |
| Accès en ligne: | Texto completo |
Table des matières:
- Front Cover; Implementation Techniques; Copyright Page; Contents; Contributors; Preface; Chapter 1. Recurrent Neural Networks: Identification and Other System Theoretic Properties; Chapter 2. Boltzmann Machines: Statistical Associations and Algorithms for Training; Chapter 3. Constructive Learning Techniques for Designing Neural Network Systems; Chapter 4. Modular Neural Networks; Chapter 5. Associative Memories; Chapter 6. A Logical Basis for Neural Network Design; Chapter 7. Neural Networks Applied to Data Analysis; Chapter 8. Multimode Single-Neuron Arithmetics; Index.