Logic Learning in Hopfield Networks

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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.
To appear in Mod. Appl. Sci

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Logic in Computer Science, Neural and Evolutionary Computing

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http://salesiana.dossiersoluciones.com/handle/123456789/159790

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0804.4075
 http://arxiv.org/abs/0804.4075

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arXiv