| Title:
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REGULARIZED RADIAL BASIS FUNCTION NETWORKS
THEORY AND APPLICATIONS |
| By: |
Paul V. Yee, Simon S. Haykin |
| Format: |
Hardback |
| List price:
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£142.95 |
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| ISBN 10: |
0471353493 |
| ISBN 13: |
9780471353492 |
| Publisher: |
JOHN WILEY AND SONS LTD |
| Pub. date: |
24 April, 2001 |
| Series: |
Adaptive and Learning Systems for Signal Processing, Communications and |
| Pages: |
208 |
| Description: |
This title deals with the design of Radial Basis Function Networks (RBFNs), one of two classes of feedforward networks with applications in artificial neural networks, for particular tasks. These applications are in such engineering problems as nonlinear process estimation and control. |
| Synopsis: |
Simon Haykin is a well-known author of books on neural networks. An authoritative book dealing with cutting edge technology. This book has no competition. |
| Illustrations: |
references |
| Publication: |
US |
| Imprint: |
John Wiley & Sons Inc |
| Returns: |
Returnable |