Storage Capacity of the Tilinglike Learning Algorithm

Arnaud Buhot; Mirta B. Gordon

doi:10.1063/1.1358157

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arXiv · cond-mat/0008162

Storage Capacity of the Tilinglike Learning Algorithm

Arnaud Buhot·Mirta B. Gordon

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Abstract

The storage capacity of an incremental learning algorithm for the parity machine, the Tilinglike Learning Algorithm, is analytically determined in the limit of a large number of hidden perceptrons. Different learning rules for the simple perceptron are investigated. The usual Gardner-Derrida one leads to a storage capacity close to the upper bound, which is independent of the learning algorithm considered.

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Arnaud Buhot, Mirta B. Gordon. 2000-08-10. Storage Capacity of the Tilinglike Learning Algorithm. https://doi.org/10.1063/1.1358157

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