Logic Learning in Hopfield Networks

Saratha Sathasivam, Wan Ahmad Tajuddin Wan Abdullah

Abstract


Synaptic weights for neurons in logic programming can be calculated either by using Hebbian learning or by Wan Abdullah’s method. In other words, Hebbian learning for governing events corresponding to some respective program clauses is equivalent with learning using Wan Abdullah’s method for the same respective program clauses. In this paper we will evaluate experimentally the equivalence between these two types of learning through computer simulations.


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Modern Applied Science   ISSN 1913-1844 (Print)   ISSN 1913-1852 (Online)

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