| Title:
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METAHEURISTIC PROCEDURES FOR TRAINING NEURAL NETWORKS
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| By: |
Enrique Alba (Editor), Rafael Marti (Editor) |
| Format: |
Hardback |
| List price:
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£119.99 |
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| ISBN 10: |
0387334157 |
| ISBN 13: |
9780387334158 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
1 May, 2006 |
| Series: |
Operations Research/Computer Science Interfaces Series 35 |
| Pages: |
252 |
| Description: |
Provides successful implementations of metaheuristic methods for neural network training. This book gives the basic principles and fundamental ideas that allow the readers to create successful training methods on their own. It covers the concepts, methods, and tools of the important area of ANNs within the realm of continuous optimization. |
| Synopsis: |
This book provides successful implementations of metaheuristic methods for neural network training. It is the first book to achieve this objective. Moreover, the basic principles and fundamental ideas given in the book will allow the readers to create successful training methods on their own. Overall, the book's aim is to provide a broad coverage of the concepts, methods, and tools of the important area of ANNs within the realm of continuous optimization. |
| Illustrations: |
48 Tables, black and white; 65 Illustrations, black and white; XII, 252 p. |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |