Title :
Exact adjoint sensitivity analysis for neural-based microwave modeling and design
Author :
Xu, Jianjun ; Yagoub, Mustapha C E ; Ding, Runtao ; Zhang, Qi Jun
Author_Institution :
Dept. of Electron., Carleton Univ., Ottawa, Ont., Canada
fDate :
1/1/2003 12:00:00 AM
Abstract :
For the first time, an adjoint neural network method is introduced for sensitivity analysis in neural-based microwave modeling and design. The proposed method is applicable to generic microwave neural models including a variety of knowledge-based neural models embedding microwave empirical information. Through the proposed technique, efficient first- and second-order sensitivity analysis can be carried out within the microwave neural network infrastructure using neuron responses in both the original and adjoint neural models. A new formulation of simultaneous training of original and adjoint neural models allows robust model development by learning not only the input/output behavior of the modeling problem, but also its derivative data. The proposed technique is very useful for neural-based microwave optimization and synthesis, and for analytically unified DC/small-signal/large-signal device modeling and circuit design. Examples of high-speed very large scale integration system interconnect modeling and optimization, large-signal FET modeling, and three-stage power-amplifier simulation utilizing the proposed sensitivity technique are demonstrated.
Keywords :
circuit CAD; circuit simulation; electronic engineering computing; microwave circuits; microwave devices; neural nets; semiconductor device models; sensitivity analysis; adjoint sensitivity analysis; design automation; first-order sensitivity analysis; generic microwave neural models; high-speed VLSI system interconnect modeling; knowledge-based neural model; large-signal FET modeling; neural-based microwave design; neural-based microwave modeling; neural-based microwave optimization; neuron responses; second-order sensitivity analysis; three-stage power-amplifier simulation; unified DC/small-signal/large-signal device modeling; Circuit synthesis; Design optimization; Microwave devices; Microwave theory and techniques; Neural networks; Neurons; Power system modeling; Robustness; Sensitivity analysis; Very large scale integration;
Journal_Title :
Microwave Theory and Techniques, IEEE Transactions on
DOI :
10.1109/TMTT.2002.806910