Behavioral Modeling of a C-Band Ring Hybrid Coupler Using Artificial Neural Networks
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Date
2010-12
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Referee
Mark
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Společnost pro radioelektronické inženýrství
Abstract
Artificial Neural Networks (ANNs) gained importance on the RF microwave (MW) design area and behavioral modeling of MW components in the past few decades. This paper presents a cost effective neural network (NN) approach to overcome design, modeling and optimization problems of an 180deg ring hybrid coupler operating in C-Band. The proposed NN model is trained by data sets obtained from electromagnetic (EM) simulators and neural test results are compared with simulator findings to determine the network accuracy. Moreover, necessary trade-offs are applied to improve the networks’ performance. Finally correlation factors, which are defined as comparison criteria between EM-simulator and proposed neural models, are calculated for each trade-off case.
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Citation
Radioengineering. 2010, vol. 19, č. 4, s. 645-652. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2010/10_04_645_652.pdf
http://www.radioeng.cz/fulltexts/2010/10_04_645_652.pdf
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Peer-reviewed
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en