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浏览/检索结果: 共4条，第1-4条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序作者升序作者降序提交时间升序提交时间降序题名升序题名降序 Design and Implementation of Rehabilitation Training and Positioning System Based on Multi-Sensor Information Fusion 期刊论文 Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering (MMME 2016), 2016, 卷号: 79 作者:  Zhou, Qiuzhan;  Xue, Yongchao;  Chen, Shuozhang;  Zhang, Songling;  Lei, Zongheng 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/05 Information Fusion  Rehabilitation training  ANN  location  wavelet package  LabVIEW   Double inverted pendulum control based on three-loop PID and improved BP neural network (EI CONFERENCE) 会议论文 2011 2nd International Conference on Digital Manufacturing and Automation, ICDMA 2011, August 5, 2011 - August 7, 2011, Zhangjiajie, Hunan, China Sang Y.; Fan Y.; Liu B. 收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25 To deal with the defects of BP neural networks used in balance control of inverted pendulum  such as longer train time and converging in partial minimum  this article reaLizes the control of double inverted pendulum with improved BP algorithm of artificial neural networks(ANN)  builds up a training model of test simulation and the BP network is 6-10-1 structure. Tansig function is used in hidden layer and PureLin function is used in output layer  LM is used in training algorithm. The training data is acquried by three-loop PID algorithm. The model is learned and trained with Matlab calculating software  and the simuLink simulation experiment results prove that improved BP algorithm for inverted pendulum control has higher precision  better astringency and lower calculation. This algorithm has wide appLication on nonLinear control and robust control field in particular. 2011 IEEE.   Space compartment method for solving partial derivative equation with neural networks - application to steady-state heat transfer problem 期刊论文 2010, 2010 Zhou Xin; Liu Boan; Shi Bingxue 收藏  |  浏览/下载：4/0 RBF model of microwave filter using PDGS with defected rectangles 会议论文 2010 Sixth International Conference on Natural Computation, 2010 作者:  Jin Taobin;  Jin Jie;  Yao Ruipu;  Li Kejia;  Zhang Yizhen 收藏  |  浏览/下载：2/0  |  提交时间：2019/11/21 radial basis function networks  electronic engineering computing  finite difference time-domain analysis  microwave filters  periodic structures  transmission coefficient  RBF model  microwave filter  PDGS  microwave frequency  microwave communication system  periodic defected ground structures  defected rectangles  artificial neural network theory  ANN theory  radial basis function model  FDTD analysis  Finite difference methods  Time domain analysis  Filtering theory  Artificial neural networks  Training  FDTD  RBF  S21