Resumen de Fuzzy grammatical inference using neural network

Antonio Blanco Ferro, Miguel Delgado Calvo-Flores, María del Carmen Pegalajar Jiménez

• We have shown a model of fuzzy neural network that is able to infer the relations associated to the transitions of a fuzzy automaton from a fuzzy examples set. Neural network is trained by a backpropagation of error based in a smooth derivative [1]. Once network has been trained the fuzzy relations associated to the transitions of the automaton are found encoded in the weights.