68 citations · 302 across the 26 of their papers we have counts for
3 papers · 1 filter
Learning multilayer perceptrons efficiently
C. Bunzmann, M. Biehl, R. Urbanczik
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 t…
Noisy regression and classification with continuous multilayer networks
Martin Ahr, Michael Biehl, Robert Urbanczik
We investigate zero temperature Gibbs learning for two classes of unrealizable rules which play an important role in practical applications of multilayer neural networks with diffe…
Statistical physics and practical training of soft-committee machines
Martin Ahr, Michael Biehl, Robert Urbanczik
Equilibrium states of large layered neural networks with differentiable activation function and a single, linear output unit are investigated using the replica formalism. The quenc…