A NEURAL NET FOR EXTRACTING KNOWLEDGE FROM NATURAL-LANGUAGE DATA-BASES

dc.contributor.authorRocha, A. F.
dc.contributor.authorGuilherme, I. R.
dc.contributor.authorTheoto, M.
dc.contributor.authorMiyadahira, AMK
dc.contributor.authorKoizumi, M. S.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2015-03-18T15:55:03Z
dc.date.available2015-03-18T15:55:03Z
dc.date.issued1992-09-01
dc.description.abstractThe present paper introduces a new model of fuzzy neuron, one which increases the computational power of the artificial neuron, turning it also into a symbolic processing device. This model proposes the synapsis to be symbolically and numerically defined, by means of the assignment of tokens to the presynaptic and postsynaptic neurons. The matching or concatenation compatibility between these tokens is used to decided about the possible connections among neurons of a given net. The strength of the compatible synapsis is made dependent on the amount of the available presynaptic and post synaptic tokens. The symbolic and numeric processing capacity of the new fuzzy neuron is used here to build a neural net (JARGON) to disclose the existing knowledge in natural language data bases such as medical files, set of interviews, and reports about engineering operations.en
dc.description.affiliationSTATE UNIV SAO PAULO,SCH NURSING,BR-05403 SAO PAULO,BRAZIL
dc.description.affiliationUnespSTATE UNIV SAO PAULO,SCH NURSING,BR-05403 SAO PAULO,BRAZIL
dc.format.extent819-828
dc.identifierhttp://dx.doi.org/10.1109/72.159072
dc.identifier.citationIeee Transactions On Neural Networks. New York: Ieee-inst Electrical Electronics Engineers Inc, v. 3, n. 5, p. 819-828, 1992.
dc.identifier.doi10.1109/72.159072
dc.identifier.issn1045-9227
dc.identifier.urihttp://hdl.handle.net/11449/117066
dc.identifier.wosWOS:A1992JQ50600019
dc.language.isoeng
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Transactions On Neural Networks
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.titleA NEURAL NET FOR EXTRACTING KNOWLEDGE FROM NATURAL-LANGUAGE DATA-BASESen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee-inst Electrical Electronics Engineers Inc
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Medicina, Botucatupt

Arquivos