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A guide to neural computing applications /
Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A few simple algorithms will learn relationships between cause and effect or organise large volumes of data into orderly and informative patterns but t...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London : New York :
Arnold ; Co-published in North, Central, and South America by John Wiley,
�1998.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; A Guide to Neural Computing Applications; Copyright Page; Contents; Foreword; Chapter 1. Introduction; Chapter 2. Mathematical background for neural computing; Chapter 3. Managing a neural computing project; Chapter 4. Identifying applications and assessing their feasibility; Chapter 5. Neural computing hardware and software; Chapter 6. Collecting and preparing data; Chapter 7. Design, training and testing of the prototype; Chapter 8. The case studies; Chapter 9. More advanced topics; Appendix A: The error back-propagation algorithm for weight updates in an MLP.