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dc.creatorRodríguez Vázquez, Ángel Benitoes
dc.creatorVidal Verdú, Fernandoes
dc.date.accessioned2020-03-06T16:10:21Z
dc.date.available2020-03-06T16:10:21Z
dc.date.issued1995
dc.identifier.citationRodríguez Vázquez, Á.B. y Vidal Verdú, F. (1995). Learning in neuro/fuzzy analog chips. En IEEE International Symposium on Circuits and Systems-ISCAS (2325-2328), Seattle, USA: Institute of Electrical and Electronics Engineers.
dc.identifier.isbn0-7803-2570-2es
dc.identifier.issn0271-4310es
dc.identifier.urihttps://hdl.handle.net/11441/94005
dc.description.abstractThis paper focus on the design of adaptive mixed-signal fuzzy chips. These chips have parallel architecture and feature electrically-controlable surface maps. The design methodology is based on the use of composite transistors - modular and well suited for design automation. This methodology is supported by dedicated, hardware-compatible learning algorithms that combine weight-perturbation and outstar.es
dc.formatapplication/pdfes
dc.format.extent4 p.es
dc.language.isoenges
dc.publisherInstitute of Electrical and Electronics Engineerses
dc.relation.ispartofIEEE International Symposium on Circuits and Systems-ISCAS (1995), p 2325-2328
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleLearning in neuro/fuzzy analog chipses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Electrónica y Electromagnetismoes
dc.relation.publisherversionhttps://doi.org/10.1109/ISCAS.1995.523895es
dc.identifier.doi10.1109/ISCAS.1995.523895es
dc.publication.initialPage2325es
dc.publication.endPage2328es
dc.eventtitleIEEE International Symposium on Circuits and Systems-ISCASes
dc.eventinstitutionSeattle, USAes
dc.identifier.sisius5617186es

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