| dc.contributor.author | Chávez-Hurtado, José L. | |
| dc.contributor.author | Rayas-Sánchez, José E. | |
| dc.date.accessioned | 2019-08-29T19:49:43Z | |
| dc.date.accessioned | 2023-03-10T17:24:57Z | |
| dc.date.available | 2019-08-29T19:49:43Z | |
| dc.date.available | 2023-03-10T17:24:57Z | |
| dc.date.issued | 2016-05 | |
| dc.identifier.citation | J. 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.2016.7540398 | es |
| dc.identifier.issn | 0149-645X | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12032/70940 | |
| dc.description | We 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.iso | eng | es |
| dc.publisher | IEEE | es |
| dc.rights.uri | http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdf | es |
| dc.subject | Surrogate Modeling | es |
| dc.subject | Multinomial Theorem | es |
| dc.subject | Polynomial | es |
| dc.subject | RF and Microwave Modeling | es |
| dc.title | Polynomial-based surrogate modeling of microwave structures in frequency domain exploiting the multinomial theorem | es |
| dc.type | info:eu-repo/semantics/article | es |
