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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/66666
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dc.contributor.authorDe Oliveira, J. P.-
dc.contributor.authorOki, N.-
dc.date.accessioned2014-05-27T11:20:20Z-
dc.date.accessioned2016-10-25T18:17:20Z-
dc.date.available2014-05-27T11:20:20Z-
dc.date.available2016-10-25T18:17:20Z-
dc.date.issued2001-12-01-
dc.identifierhttp://dx.doi.org/10.1109/MWSCAS.2001.986285-
dc.identifier.citationMidwest Symposium on Circuits and Systems, v. 2, p. 705-708.-
dc.identifier.urihttp://hdl.handle.net/11449/66666-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/66666-
dc.description.abstractThis paper describes a analog implementation of radial basis neural networks (RBNN) in BiCMOS technology. The RBNN uses a gaussian function obtained through the characteristic of the bipolar differential pair. The gaussian parameters (gain, center and width) is changed with programmable current source. Results obtained with PSPICE software is showed.en
dc.format.extent705-708-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectCMOS integrated circuits-
dc.subjectComputer software-
dc.subjectElectric currents-
dc.subjectGain measurement-
dc.subjectNeural networks-
dc.subjectNumerical methods-
dc.subjectVLSI circuits-
dc.subjectBiCMOS technology-
dc.subjectGaussian function-
dc.subjectProgrammable current source-
dc.subjectRadial basis neural networks-
dc.subjectIntegrated circuit manufacture-
dc.titleAn analog implementation of radial basis neural networks (RBNN) using BiCMOS technologyen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv. Estadual Paulista - UNESP Departamento de Engenharia Electrica, 15385-000 Ilha Solteira - SP-
dc.description.affiliationUnespUniv. Estadual Paulista - UNESP Departamento de Engenharia Electrica, 15385-000 Ilha Solteira - SP-
dc.identifier.doi10.1109/MWSCAS.2001.986285-
dc.identifier.wosWOS:000175971700158-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofMidwest Symposium on Circuits and Systems-
dc.identifier.scopus2-s2.0-0035575292-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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