
Neural networks
a comprehensive foundation
Edición de la obra Neural networks
| Autor | Simon S. Haykin |
|---|---|
| Editorial | Prentice Hall |
| Fecha de publicación | 1999 |
| Lugar | Upper Saddle River, N.J |
| Idioma | inglés |
| Páginas | 842 |
| ISBN-10 | 0132733501 |
| OCLC | 38908586 |
| LCCN | 98007011 |
| Número de Cutter | H419n |
This book represents the most comprehensive treatment available of neural networks from an engineering perspective. Thorough, well-organized, and completely up to date, it examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks. Written in a concise and fluid manner, by a foremost engineering textbook author, to make the material more accessible, this book is ideal for professional engineers and graduate students entering this exciting field. Computer experiments, problems, worked examples, a bibliography, photographs, and illustrations reinforce key concepts.