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Fuzzy grammatical inference using neural network.

Armando BlancoA. DelgadoM. Carmen Pegalajar — 1998

Mathware and Soft Computing

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.

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