Polynomial-based surrogate modeling of microwave structures in frequency domain exploiting the multinomial theorem
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IEEE
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Descripción
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.
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Surrogate Modeling, Multinomial Theorem, Polynomial, RF and Microwave Modeling
Citación
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