DocumentCode :
3266791
Title :
Application of neural networks for linear/nonlinear microwave modeling
Author :
Lei Zhang ; Bo, Kui ; Zhang, Lei
Author_Institution :
Carleton Univ., Ottawa
fYear :
2007
fDate :
5-8 Aug. 2007
Firstpage :
341
Lastpage :
344
Abstract :
This paper presents an overview of emerging artificial neural network (ANN) techniques for linear and nonlinear microwave modeling. ANN based models can automatically learn the microwave component or circuit behaviors with satisfactory accuracy, and the trained ANN models are able to implement into commercial circuit simulators for efficient design and optimization. ANN modeling techniques are successfully applied on EM, nonlinear device, and circuit behavior modeling, with speed and accuracy advantages over conventional techniques.
Keywords :
microwave circuits; neural nets; artificial neural network; circuit behavior; circuit simulator; microwave component; nonlinear microwave modeling; Artificial neural networks; Circuit simulation; Design optimization; Microwave circuits; Microwave devices; Microwave theory and techniques; Neural networks; Physics; Radio frequency; Recurrent neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2007. MWSCAS 2007. 50th Midwest Symposium on
Conference_Location :
Montreal, Que.
ISSN :
1548-3746
Print_ISBN :
978-1-4244-1175-7
Electronic_ISBN :
1548-3746
Type :
conf
DOI :
10.1109/MWSCAS.2007.4488602
Filename :
4488602
Link To Document :
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