EM-based optimization of microwave circuits using artificial neural networks: the state of the art
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Fecha
2004-01
Autores
Rayas-Sánchez, José E.
Título de la revista
ISSN de la revista
Título del volumen
Editor
IEEE Trans. Microwave Theory Tech.;52
Resumen
Descripción
This paper reviews the current state-of-the-art in electromagnetic (EM)-based design and optimization of microwave circuits using artificial neural networks (ANNs). Measurement-based design of microwave circuits using ANNs is also reviewed. The conventional microwave neural optimization approach is surveyed, along with typical enhancing techniques, such as segmentation, decomposition, hierarchy, design of experiments and clusterization. Innovative strategies for ANN-based
design exploiting microwave knowledge are reviewed, including
neural space-mapping methods. The problem of developing
synthesis neural networks is treated. EM-based statistical analysis
and yield optimization using neural networks is reviewed. The key issues in transient EM-based design using neural networks are summarized. The use of ANNs to speed up “global modeling" for EM-based design of monolithic microwave integrated circuits is briefly described. Future directions in ANN techniques to microwave design are suggested.
Palabras clave
Artificial Neural Networks (ANN), Design Automation, Inverse Modeling, Neural Models, Optimization Methods, RF and Microwave Modeling, Space Mapping, Surrogate Models, Synthesis Neural Networks, Computer Aided Design (CAD), Electromagnetic Based Optimization
Citación
J.E. Rayas-Sánchez, “EM-based optimization of microwave circuits using artificial neural networks: the state of the art,” IEEE Trans. Microwave Theory Tech., vol. 52, pp. 420-435, Jan. 2004.