NDLI: Accurate Modeling of the Special Microwave Structures Using Artificial Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Dobes, J. Pospisil, L.
Copyright Year	2006
Description	Author affiliation: Dept. of Radio Eng., Czech Tech. Univ., Prague (Dobes, J.; Pospisil, L.)
Abstract	Nowadays, there are many various microwave structures for which their nonlinear models for CAD are necessary. However, in the recent PSpice family programs, only a class of five types of MESFET model is available. In the paper, a way is suggested for modeling miscellaneous microwave structures by exclusive neural networks, or corrective neural networks working attached to an updated analytic model. The accuracy of both procedures is assessed by extracting model parameters in static and dynamic domains: first, an approximation of the AlGaAs/InGaAs/GaAs pHEMT output characteristics is carried out by the corrective neural network; and second, an approximation of the capacitance function of the InGaAs/InP avalanche photodiode is performed by the exclusive neural network. A sequence of analyses is also performed for determining optimal structure of the artificial neural network
Sponsorship	IEEE Region 8 IEEE Spain Sect
Starting Page	149
Ending Page	152
File Size	349392
Page Count	4
File Format	PDF
ISBN	1424400872
DOI	10.1109/MELCON.2006.1653058
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-16
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Neural networks Indium gallium arsenide MESFETs Gallium arsenide PHEMTs Capacitance Indium phosphide Avalanche photodiodes Performance analysis
Content Type	Text
Resource Type	Article

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