4 papers
Learning by a nerual net in a noisy environment - The pseudo-inverse solution revisited
W A van Leeuwen, B Wemmenhove
A recurrent neural net is described that learns a set of patterns in the presence of noise. The learning rule is of Hebbian type, and, if noise would be absent during the learning…
A recurrent neural network with ever changing synapses
M. Heerema, W. A. van Leeuwen
A recurrent neural network with noisy input is studied analytically, on the basis of a Discrete Time Master Equation. The latter is derived from a biologically realizable learning…
Probing the basins of attraction of a recurrent neural network
M. Heerema, W. A. van Leeuwen
A recurrent neural network is considered that can retrieve a collection of patterns, as well as slightly perturbed versions of this `pure' set of patterns via fixed points of its d…
Derivation of Hebb's rule
M. Heerema, W. A. van Leeuwen
On the basis of the general form for the energy needed to adapt the connection strengths of a network in which learning takes place, a local learning rule is found for the changes…