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Principles of artificial neural networks /
The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural networ...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore ; Hackensack, N.J. :
World Scientific,
©2007.
|
| Edición: | 2nd ed. |
| Colección: | Advanced series on circuits and systems ;
v. 6. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Introduction and role of artificial neural networks
- Fundamentals of biological neural networks
- Basic principles of ANNs and their early structures
- The Perceptron
- The Madaline
- Back propagation
- Hopfield networks
- Counter propagation
- Adaptive resonance theory
- The Cognitron and the Neocognitron
- Statistical training
- Recurrent (Time cycling) back propagation networks
- Large scale memory storage and retrieval (LAMSTAR) network.