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dc.contributor.authorBlanco Morón, Armando
dc.contributor.authorDelgado, A.
dc.contributor.authorPegalajar Jiménez, Mª Carmen
dc.date.accessioned2007-09-19T09:28:50Z
dc.date.available2007-09-19T09:28:50Z
dc.date.issued1998
dc.identifier.issn1134-5632
dc.identifier.urihttp://hdl.handle.net/2099/3510
dc.description.abstractWe 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.
dc.format.extent133-140
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
dc.relation.ispartofMathware & soft computing . 1998 Vol. 5 Núm. 2 [ -3 ]
dc.rightsReconeixement-NoComercial-CompartirIgual 3.0 Espanya
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.otherFuzzy automata
dc.subject.otherFuzzy recurrent neural network
dc.subject.otherFuzzy grammatical inference
dc.titleFuzzy Grammatical Inference Using Neural Network
dc.typeArticle
dc.subject.lemacLògica matemàtica
dc.subject.lemacLògica difusa
dc.subject.amsClassificació AMS::03 Mathematical logic and foundations::03B General logic
dc.rights.accessOpen Access


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