Efficiently learning multilayer perceptrons.
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.
Bunzmann
C
C
Institut für Theoretische Physik, Universität Würzburg, Am Hubland, D-97074 Würzburg, Germany.
Biehl
M
M
Urbanczik
R
R
D000465:Algorithms; D007858:Learning; D016571:Neural Networks, Computer