Neural space mapping optimization for EM-based design
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Fecha
2000-12
Autores
Bakr, Mohamed H.
Bandler, John W.
Ismail, Mostafa A.
Rayas-Sánchez, José E.
Zhang, Qi J.
Título de la revista
ISSN de la revista
Título del volumen
Editor
IEEE Trans. Microwave Theory Tech.;48
Resumen
Descripción
We propose, for the first time, neural space-mapping (NSM) optimization for electromagnetic-based design. NSM optimization exploits our space-mapping (SM)-based neuromodeling techniques to efficiently approximate the mapping. A novel procedure that does not require troublesome parameter extraction to predict the next point is proposed. The initial mapping is established by performing upfront fine-model analyses at a reduced number of base points. Coarse-model sensitivities are exploited to select those base points. Huber optimization is used to train, without testing points, simple SM-based neuromodels at each NSM iteration. The technique is illustrated by a high-temperature superconducting quarter-wave parallel coupled-line microstrip filter and a bandstop microstrip filter with quarter-wave resonant open stubs.
Palabras clave
Design Automation, Electromagnetic Based Optimization, Microwave Circuits, Microstrip Filters, Neural Network Applications, Neural Modeling, Optimization Methods, Space Mapping, Neural Space Mapping (NSM)
Citación
M.H. Bakr, J.W. Bandler, M.A. Ismail, J.E. Rayas-Sánchez and Q.J. Zhang, “Neural space mapping optimization for EM-based design,” IEEE Trans. Microwave Theory Tech., vol. 48, pp. 2307-2315, Dec. 2000.