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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 trainned by a backpropagation of error based in a smooth derivative [Blanco96]. Once network has been trainned the fuzzy relations associated to the transitions of the automaton are found encoded in the weights.
Fuzzy automata, Classificació AMS::03 Mathematical logic and foundations::03B General logic, Fuzzy recurrent neural network, fuzzy automata, Learning and adaptive systems in artificial intelligence, Reasoning under uncertainty in the context of artificial intelligence, Lògica matemàtica, Lògica difusa, :03 Mathematical logic and foundations::03B General logic [Classificació AMS], Grammars and rewriting systems, Fuzzy grammatical inference, fuzzy grammatical inference, fuzzy recurrent neural network, Theorem proving (deduction, resolution, etc.)
Fuzzy automata, Classificació AMS::03 Mathematical logic and foundations::03B General logic, Fuzzy recurrent neural network, fuzzy automata, Learning and adaptive systems in artificial intelligence, Reasoning under uncertainty in the context of artificial intelligence, Lògica matemàtica, Lògica difusa, :03 Mathematical logic and foundations::03B General logic [Classificació AMS], Grammars and rewriting systems, Fuzzy grammatical inference, fuzzy grammatical inference, fuzzy recurrent neural network, Theorem proving (deduction, resolution, etc.)
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