Chávez-Hurtado, José L.Rayas-Sánchez, José E.2019-08-292019-08-292016-05J. 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.2016.75403980149-645Xhttp://hdl.handle.net/11117/5995We 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.engSurrogate ModelingMultinomial TheoremPolynomialRF and Microwave Modelinginfo:eu-repo/semantics/article