Neural inverse space mapping (NISM) optimization for EM-based microwave design
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Fecha
2003-03
Autores
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
Int. J. RF and Microwave CAE
Resumen
Descripción
We present neural inverse space mapping (NISM) optimization for electromagnetics-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. It employs a simple statistical parameter extraction procedure. 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
Design Automation, Microwave Circuits, Microstrip Filters, Neural Modeling, Neural Network Applications, Space Mapping, Electromagnetic Based Optimization, Electromagnetic Based Optimization, Neural Space Mapping (NSM)
Citación
J.W. Bandler, M.A. Ismail, J.E. Rayas-Sánchez and Q.J. Zhang, “Neural inverse space mapping (NISM) for EM-based microwave design,” Int. J. RF and Microwave CAE, vol. 13, pp. 136-147, Mar. 2003.