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  • 标题:ANNs in Bias-Dependent Modeling of S-parameters of Microwave FETs and HBTs
  • 本地全文:下载
  • 作者:Z. Marinković ; A. Stošić ; V. Marković
  • 期刊名称:Microwave Review
  • 印刷版ISSN:1450-5835
  • 出版年度:2006
  • 卷号:12
  • 期号:1
  • 出版社:Society for Microwave Technique, Technologies and Systems, Serbia and Montenegro IEEE MTT-S Chapter
  • 摘要:The applications of artificial neural networks (ANNs) in bias-dependent modeling of S-parameters of microwave FETs and HBTs are considered in this paper. Besides a simple model based on an ANN that models S-parameter's dependence on the bias conditions and frequency, a model based on an ANN with additional prior knowledge at its inputs (PKI ANN) is introduced as well. S-parameters of the device that belongs to the same class as the modeled device are used as the prior knowledge. Further, a model of S-parameters for a class of devices made in the same technology and differ in the gate widths' values is proposed. All of the proposed models are illustrated by the appropriate modeling examples
  • 关键词:Artificial neural network; MESFET; HEMT; ;HBT; S-parameters
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