Learning multilayer perceptrons efficiently

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dc.creatorBunzmann, C.
dc.creatorBiehl, M.
dc.creatorUrbanczik, R.
dc.date2001-01-10
dc.date.accessioned2026-07-07T02:39:59Z
dc.date.available2026-07-07T02:39:59Z
dc.descriptionA 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.
dc.description5 pages, 3 figures, to appear: Phys. Rev. Letts
dc.identifierhttps://arxiv.org/abs/cond-mat/0101132
dc.identifierhttp://arxiv.org/abs/cond-mat/0101132
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/17238
dc.subjectDisordered Systems and Neural Networks
dc.titleLearning multilayer perceptrons efficiently
dc.typetext

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