Neuromodeling of microwave circuits exploiting space mapping technology

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Miniatura

Fecha

1999-06

Autores

Bandler, John W.
Ismael, Mohamed H.
Rayas-Sánchez, José E.
Zhang, Qi J.

Título de la revista

ISSN de la revista

Título del volumen

Editor

IEEE MTT-S Int. Microwave Symp. Digest

Resumen

Descripción

For the first time, we present neuromodeling of microwave circuits based on Space Mapping (SM) technology. SM based neuromodels decrease the cost of training, improve generalization ability and reduce the complexity of the ANN topology w.r.t. classical neuromodeling. Three novel techniques are proposed to generate SM based neuromodels: Space-Mapped Neuromodeling (SMN), Frequency-Dependent Space-Mapped Neuromodeling (FDSMN), and Frequency Space-Mapped Neuromodeling (FSMN). Huber optimization is proposed to train the neuro-space-mapping (NSM). The techniques are illustrated by a microstrip right angle bend and a microstrip line with high dielectric constant.

Palabras clave

Neuromodeling, Space Mapping, Microwave Circuits, RF, CAD, Artificial Neural Networks (ANN)

Citación

Bandler, J.W; Ismail, M.A.; Rayas-Sánchez, J.E. and Zhang, Q.J. (1999) “Neuromodeling of microwave circuits exploiting space mapping technology,” in IEEE MTT-S Int. Microwave Symp. Dig., Anaheim, CA, Jun. Pp. 149-152. (P-ISBN: 0-7803-5135-5, INSPEC: 6307848; DOI: 10.1109/MWSYM.1999.779445).