Fuzzy Grammatical Inference Using Neural Network
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 r...
| Autores: | , , |
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| Tipo de documento: | artigo |
| Data de publicação: | 1998 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2099/3510 |
| Acesso em linha: | https://hdl.handle.net/2099/3510 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Fuzzy automata Fuzzy recurrent neural network Fuzzy grammatical inference Lògica matemàtica Lògica difusa Classificació AMS::03 Mathematical logic and foundations::03B General logic |
| Resumo: | 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. |
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