Abstract

In this paper the performance of Pattern storage feedback neural network is evaluated for the storage and recalling of finger prints using unsupervised learning. The paper first discusses the storage and recall via hebbian learning and the problem areas or the efficiency issues involved and then the performance enhancement via the pseudo-inverse learning. Performance is measured with respect to storage capacity, recall of distorted or noisy patterns leassociation ofa noisy version ofa stored pattern to the original stored pattern for testing the accretive behaviour of the network and association of new or noisy form of one memorized pattern.