Software implementation of space mapping based neuromodels of microwave components

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dc.contributor.authorBandler, John W.
dc.contributor.authorRayas-Sánchez, José E.
dc.contributor.authorZhang, Qi J.
dc.date.accessioned2014-08-26T18:25:50Z
dc.date.available2014-08-26T18:25:50Z
dc.date.issued2000-04
dc.descriptionWe present novel realizations of SM based neuromodels of microwave components using available software. In the SM based neuromodeling techniques a neural network is used to implement a mapping from the electromagnetic to the circuit-theoretic input space. The implicit knowledge in the circuit model allows us to decrease not only the number of learning points needed, but also the complexity of the neural network and to improve the generalization performance. A Frequency Space Mapped Neuromodel (FSMN) of a microstrip right angle bend is implemented using NeuroModeler, and entered into ADS as a library component through an ADS plug-in module.es
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnologíaes
dc.description.sponsorshipCarleton Universityes
dc.identifier.citationBandler, J.W; Rayas-Sánchez, J.E. and Zhang, Q.J. (2000) “Software implementation of space mapping based neuromodels of microwave components,” in Micronet Annual Workshop, Ottawa, ON, Apr., pp. 67-68.es
dc.identifier.urihttp://hdl.handle.net/11117/1413
dc.language.isoenges
dc.publisherMicronet Annual Workshopes
dc.relation.ispartofseriesMicronet Annual Workshop;
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdfes
dc.subjectCADes
dc.subjectMicrowave Modelinges
dc.subjectSurrogate Modelinges
dc.subjectSpace Mappinges
dc.subjectSoftwarees
dc.subjectNeuromodeleres
dc.titleSoftware implementation of space mapping based neuromodels of microwave componentses
dc.typeinfo:eu-repo/semantics/conferencePaperes
rei.peerreviewedYeses
rei.revisorMicronet Annual Workshop

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