Learning in the Recurrent Hopfield Network

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.