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dc.contributor.authorGregorio, Massimo de
dc.date.accessioned2007-04-03T11:16:14Z
dc.date.available2007-04-03T11:16:14Z
dc.date.issued1996
dc.identifier.issn1134-5632
dc.identifier.urihttp://hdl.handle.net/2099/2633
dc.description.abstractWhile the coupling of artificial of neural networks (ANN) and symbolic AI (SAI) is a strategy adopted in many hybrid systems, a real integration of the two methodologies has not been thoroughly investigated yet: so far, most hybrid systems have been viewed as just an engineering shortcut to solve complex problems in which one methodology alone seems too weak. In this paper, an approach to integrating ANN and SAI is presented. The basic idea explored here is that there is much more to hybrid models than a coupling of methodologies for the sake of avoiding engineering problems.
dc.format.extent9
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
dc.relation.ispartofMathware & soft computing . 1996 Vol. 3 Núm. 1 [ -2 ]p.271-279
dc.rightsReconeixement-NoComercial-CompartirIgual 3.0 Espanya
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.otherNeural networks
dc.subject.otherSymbolic artificial intelligence
dc.subject.otherHybrid systems
dc.subject.otherANN
dc.subject.otherSAI
dc.titleIntegrating inference and neural classification in a hybrid system for recognition tasks
dc.typeArticle
dc.subject.lemacSistemes experts (Informàtica)
dc.subject.lemacXarxes neuronals (Informàtica)
dc.subject.amsClassificació AMS::68 Computer science::68T Artificial intelligence
dc.rights.accessOpen Access


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