Learning multilayer perceptrons efficiently

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A learning algorithm for multilayer perceptrons is presented which is based on finding the principal components of a correlation matrix computed from the example inputs and their target outputs. For large networks our procedure needs far fewer examples to achieve good generalization than traditional on-line algorithms.
5 pages, 3 figures, to appear: Phys. Rev. Letts

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Disordered Systems and Neural Networks

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http://salesiana.dossiersoluciones.com/handle/123456789/17238

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/0101132
 http://arxiv.org/abs/cond-mat/0101132

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arXiv