Neural Inverse Space Mapping EM-Optimization

dc.contributor.authorRayas-Sánchez, José E.
dc.contributor.authorBandler, John W.
dc.contributor.authorIsmail, Mostafa A.
dc.contributor.authorZhang, Qi J.
dc.date.accessioned2013-05-20T17:32:45Z
dc.date.available2013-05-20T17:32:45Z
dc.date.issued2001-05-23
dc.descriptionFor the first time, we present Neural Inverse Space Mapping (NISM) optimization for EM-based design of microwave structures. The inverse of the mapping from the fine to the coarse model parameter spaces is exploited for the first time in a Space Mapping algorithm. NISM optimization does not require: up-front EM simulations, multipoint parameter extraction or frequency mapping. The inverse of the mapping is approximated by a neural network whose generalization performance is controlled through a network growing strategy. We contrast our new algorithm with Neural Space Mapping (NSM) optimization.es
dc.description.sponsorshipITESO, A.C.es
dc.identifier.citationJ. W. Bandler, M. A. Ismail, J. E. Rayas-Sánchez and Q. J. Zhang, “Neural inverse space mapping EM-optimization,” in IEEE MTT-S Int. Microwave Symp. Dig., Phoenix, AZ, May 2001, pp. 1007-1010. (ISSN: 0149-645X; P-ISBN: 0-7803-6538-0; INSPEC: 6999380; DOI: 10.1109/MWSYM.2001.967062)es
dc.identifier.urihttp://hdl.handle.net/11117/569
dc.language.isoenges
dc.publisherIEEE MTT-S International Microwave Symposiumes
dc.relation.ispartofseriesIEEE MTT-S International Microwave Symposium;2001
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdfes
dc.subjectMicrowave Circuitses
dc.subjectElectromagnetic Based Designes
dc.subjectSpace Mappinges
dc.subjectNeural Networkses
dc.titleNeural Inverse Space Mapping EM-Optimizationes
dc.typeinfo:eu-repo/semantics/conferencePaperes
rei.peerreviewedYeses
rei.revisorIEEE MTT-S International Microwave Symposium

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