Show simple item record

dc.contributor.authorBandler, John W.
dc.contributor.authorIsmael, Mohamed H.
dc.contributor.authorRayas-Sánchez, José E.
dc.contributor.authorZhang, Qi J.
dc.date.accessioned2014-08-25T18:50:58Z
dc.date.accessioned2023-03-21T15:11:15Z
dc.date.available2014-08-25T18:50:58Z
dc.date.available2023-03-21T15:11:15Z
dc.date.issued1999-07
dc.identifier.citationBandler, J.W: Ismail, M.A; Rayas-Sánchez, J.E, and Zhang, Q.J. (1999) “New directions in model development for RF/microwave components utilizing artificial neural networks and space mapping,” in IEEE AP-S Int. Symp. Dig., Orlando, FL, July, pp. 2572-2575. (P-ISBN: 0-7803-5639-x; INSPEC: 6489707; DOI: 10.1109/APS.1999.789334)es
dc.identifier.isbn0-7803-5639-x
dc.identifier.otherDOI: 10.1109/APS.1999.789334
dc.identifier.urihttps://hdl.handle.net/20.500.12032/72944
dc.descriptionThis paper presents recent advances in model development for RF/microwave components exploiting two powerful technologies: Artificial Neural Networks (ANN) and Space Mapping (SM). We survey the fundamental issues on classical neuromodeling. We review some state-of-the-art neuromodeling techniques, emphasizing SM based neuromodeling techniques. We show how SM based neuromodels decrease the cost of training, improve generalization ability and reduce the complexity of the ANN topology w.r.t. the classical neuromodeling approach. We illustrate these novel approaches through a practical microwave modeling problem. We conclude by proposing some possible exciting future applications of ANN and SM in microwave CAD.es
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnologíaes
dc.language.isoenges
dc.publisherIEEE AP-S Int. Symp. Digestes
dc.relation.ispartofseriesIEEE AP-S Int. Symp. Digest;
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdfes
dc.subjectMicrowave Circuitses
dc.subjectSpace Mappinges
dc.subjectArtificial Neural Networks (ANN)es
dc.subjectCADes
dc.subjectRFes
dc.subjectNeuromodelinges
dc.titleNew directions in model development for RF/microwave components utilizing artificial neural networks and space mappinges
dc.typeinfo:eu-repo/semantics/conferencePaperes


Files in this item

FilesSizeFormatView
New_direc_SM_ANNs_APS99.pdf236.8Kbapplication/pdfView/Open

This item appears in the following Collection(s)

Show simple item record


© AUSJAL 2022

Asociación de Universidades Confiadas a la Compañía de Jesús en América Latina, AUSJAL
Av. Santa Teresa de Jesús Edif. Cerpe, Piso 2, Oficina AUSJAL Urb.
La Castellana, Chacao (1060) Caracas - Venezuela
Tel/Fax (+58-212)-266-13-41 /(+58-212)-266-85-62

Nuestras redes sociales

facebook Facebook

twitter Twitter

youtube Youtube

Asociaciones Jesuitas en el mundo
Ausjal en el mundo AJCU AUSJAL JESAM JCEP JCS JCAP