On knowledge-based neural networks and neuro-space mapping
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Fecha
2012-06
Autores
Rayas-Sánchez, José E.
Zhang, Qi J.
Título de la revista
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Editor
IEEE MTT-S International Microwave Symposium
Resumen
Descripción
This article reviews the most significant milestones
in CAD methodologies for intelligent EM-based modeling and
design optimization using artificial neural networks and space
mapping. We consider knowledge-based and automatic neural
network model generation based on advanced data sampling
algorithms. Computationally efficient neural space mapping
methods for highly accurate EM-based modeling, statistical
analysis and yield estimation are described. We briefly compare
different strategies for developing suitable (input and output)
neuro-mappings. Inverse modeling exploiting neural networks is
addressed, including neural inverse space mapping optimization.
Embedded passives, microstrip filters, active devices and
waveguide structures illustrate the techniques.
Palabras clave
Space Mapping, Electromagnetic Based Optimization, Neural Networks, Knowledge Based Techniques
Citación
J. E. Rayas-Sánchez and Q. J. Zhang, “On knowledge-based neural networks and neuro-space mapping,” in IEEE MTT-S Int. Microwave Symp. Dig., Montreal, Canada, Jun. 2012, pp. 1-3. (ISSN: 0149-645X; E-ISBN: 978-1-4673-1086-4; P-ISBN: 978-1-4673-1085-7; DOI: 10.1109/MWSYM.2011.5972954)