Learning in feed-forward neural networks by improving the performance

Mirta B. Gordon, Pierre Pereto and Miguel Rodriguez-Girones

Physica A: Statistical Mechanics and its Applications, 1992, vol. 185, issue 1, 402-410

Abstract: Statistical mechanics is used to derive a new learning rule for a feed-forward neural network with one hidden layer. Generalization to multilayer neural networks is straightforward, and proceeds in the same way as backpropagation.

Date: 1992
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:185:y:1992:i:1:p:402-410

DOI: 10.1016/0378-4371(92)90481-5

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