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dc.contributor.authorChávez-Hurtado, José L.
dc.contributor.authorRayas-Sánchez, José E.
dc.date.accessioned2019-08-29T19:49:43Z
dc.date.accessioned2023-03-10T17:24:57Z
dc.date.available2019-08-29T19:49:43Z
dc.date.available2023-03-10T17:24:57Z
dc.date.issued2016-05
dc.identifier.citationJ. L. Chávez-Hurtado and J. E. Rayas-Sánchez, "Polynomial-based surrogate modeling of microwave structures in frequency domain exploiting the multinomial theorem," 2016 IEEE MTT-S International Microwave Symposium (IMS), San Francisco, CA, 2016, pp.1-3. doi: 10.1109/MWSYM.2016.7540398es
dc.identifier.issn0149-645X
dc.identifier.urihttps://hdl.handle.net/20.500.12032/70940
dc.descriptionWe propose a methodology for developing EM-based polynomial surrogate models exploiting the multinomial theorem. Our methodology is compared against four EM surrogate modeling techniques: response surface modeling, support vector machines, generalized regression neural networks, and Kriging. Results show that the proposed polynomial surrogate modeling approach has the best performance among these techniques when using a very small amount of learning base points. The proposed methodology is illustrated by developing a surrogate model for a T-slot PIFA antenna simulated on a commercially available 3D FEM simulator.es
dc.language.isoenges
dc.publisherIEEEes
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdfes
dc.subjectSurrogate Modelinges
dc.subjectMultinomial Theoremes
dc.subjectPolynomiales
dc.subjectRF and Microwave Modelinges
dc.titlePolynomial-based surrogate modeling of microwave structures in frequency domain exploiting the multinomial theoremes
dc.typeinfo:eu-repo/semantics/articlees


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