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dc.contributor.authorRayas-Sánchez, José E.
dc.contributor.authorZhang, Qi J.
dc.date.accessioned2013-05-21T17:57:02Z
dc.date.accessioned2023-03-10T18:11:49Z
dc.date.available2013-05-21T17:57:02Z
dc.date.available2023-03-10T18:11:49Z
dc.date.issued2008-06
dc.identifier.urihttps://hdl.handle.net/20.500.12032/71407
dc.description- Brief introduction to ANNs - EM-based statistical analysis - Input Space Mapping - Linear-Input Neural-Output Space Mapping (LINO-SM) - LINO-SM approach to yield estimation - Constrained Broyden-Based Space Mapping - Training the Output Neuromapping - Example - Conclusionses
dc.description.sponsorshipITESO, A.C.es
dc.language.isoenges
dc.publisherIEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courseses
dc.relation.ispartofseriesIEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courses;2008
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdfes
dc.subjectLinear-Input Neural-Output Space Mapping (LINO-SM)es
dc.subjectElectromagnetic Based Designes
dc.subjectNeural Networkses
dc.subjectSpace Mappinges
dc.titleFast parametric models for EM design using neural networks and space mappinges
dc.typeinfo:eu-repo/semantics/conferencePaperes


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