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Exact adjoint sensitivity analysis for neural based microwave modeling and design

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4 Author(s)
Jianjun Xu ; Dept. of Electron., Carleton Univ., Ottawa, Ont., Canada ; Yagoub, M.C.E. ; Runtao Ding ; Qi-Jun Zhang

For the first time, an adjoint neural network method is introduced for sensitivity analysis in neural-based microwave modeling and design. Exact first and second order sensitivities are systematically calculated for generic microwave neural models including variety of knowledge based neural models embedding microwave empirical information. A new formulation allows the models to learn both the input/output behavior of the modeling problem and its derivative data simultaneously. Examples for passive and active microwave modeling and simulation are presented.

Published in:

Microwave Symposium Digest, 2001 IEEE MTT-S International  (Volume:2 )

Date of Conference:

20-24 May 2001