Logic Learning in Hopfield Networks
Logic in Computer Science
2008-04-28 v1 Neural and Evolutionary Computing
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.
Cite
@article{arxiv.0804.4075,
title = {Logic Learning in Hopfield Networks},
author = {Saratha Sathasivam and Wan Ahmad Tajuddin Wan Abdullah},
journal= {arXiv preprint arXiv:0804.4075},
year = {2008}
}
Comments
To appear in Mod. Appl. Sci