%0 Journal Article
%T Applications of BP Neural Network in Analyzing Metamaterials Elemental Basic Structure<br>BP神经网络在异向介质基本结构分析中的应用
%A Jiang Yu
%A Xiao Hong
%A Liu Xing-peng
%A Teng Wei
%A <br>姜宇
%A 肖鸿
%A 刘兴鹏
%A 滕巍
%J 电子与信息学报
%D 2010
%I 
%X To reduce the faults caused by thickness resonance in the traditional numerical analysis method, and achieve the coexistence between the high analysis precision and the high efficiency of the Left-Hand Materials(LHMs), the neural network model based on the back propagation multi-layer forward feed neural network is built between electromagnetism characteristic parameters and the dielectric sensitive structural parameters, which is used to analyze the basic Left-Hand Materials structural. The experimental results show that the analysis time is 145.535648 seconds and the training mean square error is 0.00020679 while adopting the scaled conjugate gradient method. The results achieved in the paper are coincident with these ones by the full wave method, satisfying the engineering demand. It effectively overcomes the instability while extracting the parameters in re-forecasting process, and provides a method with rapid and precise for the structure of Left-Handed Materials.
%K Electromagnetism characteristic parameters
%K Left-Hand Materials(LHMs)
%K Back Propagation Neural Network(BPNN)
%K Scaled Conjugate Gradient(SCG)<br>电磁特性参数
%K 异向介质
%K BP神经网络
%K 量化共轭梯度法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=0D1E90F97CA340AD6A9362FAA01358E0&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=CA4FD0336C81A37A&sid=64963996248CBF47&eid=FEF02B4635FE8227&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=21