Neural Inverse Space Mapping EM-Optimization
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Fecha
2001-05-23
Autores
Rayas-Sánchez, José E.
Bandler, John W.
Ismail, Mostafa A.
Zhang, Qi J.
Título de la revista
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Título del volumen
Editor
IEEE MTT-S International Microwave Symposium
Resumen
Descripción
For the first time, we present Neural Inverse
Space Mapping (NISM) optimization for EM-based design of
microwave structures. The inverse of the mapping from the
fine to the coarse model parameter spaces is exploited for the
first time in a Space Mapping algorithm. NISM optimization
does not require: up-front EM simulations, multipoint
parameter extraction or frequency mapping. The inverse of
the mapping is approximated by a neural network whose
generalization performance is controlled through a network
growing strategy. We contrast our new algorithm with
Neural Space Mapping (NSM) optimization.
Palabras clave
Microwave Circuits, Electromagnetic Based Design, Space Mapping, Neural Networks
Citación
J. W. Bandler, M. A. Ismail, J. E. Rayas-Sánchez and Q. J. Zhang, “Neural inverse space mapping EM-optimization,” in IEEE MTT-S Int. Microwave Symp. Dig., Phoenix, AZ, May 2001, pp. 1007-1010. (ISSN: 0149-645X; P-ISBN: 0-7803-6538-0; INSPEC: 6999380; DOI: 10.1109/MWSYM.2001.967062)