Symbolic Integration of Neural Classificators

he article describes a method in order to integrate the sub-symbolic classification, using neural networks, with symbolic rules. The aim of this work is to extract implicit knowledge embedded in neural networks building a hybrid system, the symbolic rules of which coming out clustering synaptic weights. This allows us to develop a diagnostic system that joins neural networks plasticity and symbolic information comprehensibility. The methodology used in this article is based on the ability of Towell and Shavlik Method to extract symbolic rules from a multilayer perceptron