A generalized space mapping tableau approach to device modeling

dc.contributor.authorBandler, John W.
dc.contributor.authorIsmail, Mostafa A.
dc.contributor.authorGeorgieva, Natalia
dc.contributor.authorRayas-Sánchez, José E.
dc.contributor.authorZhang, Qi J.
dc.date.accessioned2014-08-26T18:16:58Z
dc.date.available2014-08-26T18:16:58Z
dc.date.issued1999-10
dc.descriptionA novel, comprehensive framework to engineering device modeling called Generalized Space Mapping (GSM) is introduced. The accuracy of available empirical models of microwave devices can be significantly enchanced by exploiting GSM. The new concept is verified on several device modeling problems, typically utilizing very few full-wave EM simulations, yielding remarkable improvement in accuracy.es
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnologíaes
dc.description.sponsorshipCarleton Universityes
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canadaes
dc.identifier.citationBandler, J.W; Georgieva, N; Ismail, M.A; Rayas-Sánchez, J.E. and Zhang, Q.J. (1999) “A generalized space mapping tableau approach to device modeling,” in 29th European Microwave Conf., Munich, Germany, Oct., vol. 3, pp. 231-234. (DOI: 10.1109/EUMA.1999.338480)es
dc.identifier.otherDOI: 10.1109
dc.identifier.urihttp://hdl.handle.net/11117/1412
dc.language.isoenges
dc.publisherEuropean Microwave Conf.es
dc.relation.ispartofseriesEuropean Microwave Conf.;29th
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdfes
dc.subjectCADes
dc.subjectArtificial Neural Networks (ANN)es
dc.subjectRFes
dc.subjectSpace Mappinges
dc.subjectNeuromodelinges
dc.subjectMicrowave Modelinges
dc.titleA generalized space mapping tableau approach to device modelinges
dc.typeinfo:eu-repo/semantics/conferencePaperes
rei.peerreviewedYeses
rei.revisorEuropean Microwave Conf.

Archivos

Bloque original
Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
GSM_EUMC99_submitted.pdf
Tamaño:
1.1 MB
Formato:
Adobe Portable Document Format
Descripción: