Yield-driven em optimization using space mapping-based neuromodels
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Date
2001-09Author
Rayas-Sánchez, José E.
Bandler, John W.
Zhang, Qi J.
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In this work, an efficient procedure to realize electromagnetics-based yield optimization and statistical analysis of microwave structures using space mapping-based neuromodels is proposed. A generalized relationship between the fine and coarse model sensitivities through the Jacobian of the neuromapping is proposed. Our technique is illustrated by the EM-based statistical analysis and yield optimization of an HTS microstrip filter.ITESO, A.C.
Micronet Network of Centres of Excellence.
Natural Sciences and Engineering Research Council of Canada (NSERC)
Ontario Graduate Scholarship