Learning multilayer perceptrons efficiently

C. Bunzmann; M. Biehl; R. Urbanczik

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arXiv · cond-mat/0101132

Learning multilayer perceptrons efficiently

C. Bunzmann·M. Biehl·R. Urbanczik

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Abstract

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.

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C. Bunzmann, M. Biehl, R. Urbanczik. 2001-01-10. Learning multilayer perceptrons efficiently. https://arxiv.org/abs/cond-mat/0101132

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