Saad, David and Solla, Sara A. (1997). On-line learning in multilayer neural networks. IN: Proceedings of the first international conference on mathematics of neural networks : models, algorithms and applications: models, algorithms and applications. Oxford: Kluwer.
Abstract
We present an analytic solution to the problem of on-line gradient-descent learning for two-layer neural networks with an arbitrary number of hidden units in both teacher and student networks. The technique, demonstrated here for the case of adaptive input-to-hidden weights, becomes exact as the dimensionality of the input space increases.
Publication DOI: | https://doi.org/10.1007/978-1-4615-6099-9_53 |
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Divisions: | College of Engineering & Physical Sciences > Systems analytics research institute (SARI) Aston University (General) |
Additional Information: | © Springer Science+Business Media New York 1997 |
Uncontrolled Keywords: | algorithm,design,measurement,performance,theory,verification |
ISBN: | 0-7923-99331 |
Last Modified: | 02 Dec 2024 09:11 |
Date Deposited: | 08 Jul 2009 10:36 |
Full Text Link: | |
Related URLs: |
https://link.sp ... -4615-6099-9_53
(Publisher URL) |
PURE Output Type: | Chapter |
Published Date: | 1997 |
Authors: |
Saad, David
(
0000-0001-9821-2623)
Solla, Sara A. |