Analysis and Modeling of Deflection and Pull in Voltage of Cantilever Beam

摘要：

Based on neural network and polynomial approximations, the paper puts forward the models of deflection and pull in voltage of cantilever beam. Wavelet analysis based data processing is used. The simulating results show the neural networks approach does better than the linear approach in terms of accuracy and parsimony. The network is as accurate as the polynomial approximations with fewer parameters, or more accurate with the same number of parameters.

关键词： Data preprocess Orthogonal polynomial Wavelet transformation Artificial neural network. .

作者: BAI Yanping HAO Yilong Fan Wei

作者单位: National Key Laboratory of Micro/ Nano Fabrication Technology, Institute of Microelectronics, Peking National Key Laboratory of Micro/ Nano Fabrication Technology, Institute of Microelectronics, Peking

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）