A neural network model of silicon-based millimeter-wave coplanar waveguide

摘要：

In this paper, neural network modeling techniques are presented for millimeter-wave modeling of siliconbased millimeter-wave coplanar waveguide. The neural network is trained to learn the mapping between the geometrical variables and S parameter of the coplanar waveguide. Once trained with the EM data, this model provides accurate and fast prediction of the measurement data of differential CPW with geometry parameters as variables. Experiments in comparison with input-output relationships by the proposed neural network model and measurement data are included to demonstrate the merits of this new model.

关键词： coplanar waveguide silicon-based millimeter-wave neural networks

作者: Zhiqun Cheng Liwei Jin Qingna Wang Lingling Sun

作者单位: Key Lab. of RF Circuit and System, Ministry of Education,Hangzhou Dianzi University, Hangzhou 310018, China

会议类型: 国际会议

会议名称: 2011 China-Japan Joint Microwave Conference(2011年中日微波会议CJMW 2011)

会议地点: 杭州

会议语种:英文

页码: 390-392

在线出版日期: 2011-04-20（万方平台首次上网日期，不代表论文的发表时间）