Learning multilayer perceptrons efficiently
Bunzmann, C. · Biehl, M. · Urbanczik, R.
Original · EN
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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