On-line learning in multilayer neural networks

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.


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.

Divisions: Engineering & Applied Sciences > Mathematics
Engineering & Applied Sciences > Non-linearity and complexity research group
Additional Information: The original publication is available at www.springerlink.com
Uncontrolled Keywords: algorithm,design,measurement,performance,theory,verification
Published Date: 1997
Authors: Saad, David ( 0000-0001-9821-2623)
Solla, Sara A.



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