Learning in the Recurrent Hopfield Network
Saratha Sathasivam · 2008
There are two ways to calculate synaptic weights for neurons in logic programming. There are by using Hebbian learning or by Wan Abdullah's method. 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. We will evaluate experimentally the logical equivalent between these two types of learning (Wan Abdullah's method and Hebbian learning) for the same respective clauses (same underlying logical rules) in this paper. The computer simulation that had been carried out support this theory.