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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：兰州理工大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Power load data preprocessing based on PFCM algorithm and neural network 会议论文 Chongqing, China, May 24, 2019 - May 26, 2019 作者:  Hao, Xiaohong;  Zhang, Chunyan;  Li, Hang;  Wang, Weizhou;  Liu, Fuchao 收藏  |  浏览/下载：1/0  |  提交时间：2020/11/15 Classification (of information)  Curve fitting  Electric load dispatching  Electric power plant loads  Electric power transmission networks  Genetic algorithms  Radial basis function networks  Statistics  Average relative error  Clustering results  Genetic-algorithm optimizations  Number of clusters  Outliers  Power load  RBF Neural Network  Trained neural networks   Fracture design parameters of middle carbon steel in extra-low cycle bend torsion loading 会议论文 Xi'an, Shanxi, China, May 9, 2014 - May 11, 2014 作者:  Duan, Hong-Yan;  Zhang, Huan-Rong;  Zheng, Ming;  Wang, Xiao-Hong 收藏  |  浏览/下载：1/0  |  提交时间：2020/11/15 Carbon steel  Fracture  Network architecture  Neural networks  Extra-low cycle  Middle carbon steels  Neural network model  Number of hidden neurons  Performance of systems  Prediction techniques  Torsion fatigue  Trained neural networks   Application of ANN back-propagation for fracture design parameters of middle carbon steel in extra-low cycle bend torsion loading 会议论文 Wuhan, China, June 22, 2013 - June 23, 2013 作者:  Duan, HongYan;  Li, YouTang;  Sun, ZhiJia;  Zhang, YangYang 收藏  |  浏览/下载：1/0  |  提交时间：2020/11/15 Backpropagation  Carbon steel  Industrial engineering  Mechanical engineering  Network architecture  Neural networks  Torsional stress  Extra-low cycle  Middle carbon steels  Neural network model  Number of hidden neurons  Performance of systems  Prediction techniques  Torsion fatigue  Trained neural networks   Application of ANN back-propagation for an alloy reinforced ceramics/metal composite under extra-low cycle bending fatigue loading 会议论文 Harbin, China, August 16, 2009 - August 19, 2009 作者:  Rui, Zhi-Yuan;  Duan, Hong-Yan;  Lei, Chunli;  Wei, Xing-Chun 收藏  |  浏览/下载：4/0  |  提交时间：2020/11/15 Approximation theory  Backpropagation  Bending (deformation)  Ceramic materials  Ceramic matrix composites  Data flow analysis  Design  Fracture  Powder metallurgy  Approximate methods  Artificial Neural Network  Ceramic composites  Cycle time  Fracture design  Hidden neurons  Input parameter  Low cycle bending  Network training  Neural network model  Performance of systems  Prediction techniques  Three-layer  Tip radius  Trained neural networks  Training data   Application of ANN back-propagation for residual stress in an alloy reinforced ceramics/metal composite 会议论文 Harbin, China, August 16, 2009 - August 19, 2009 作者:  Duan, Hong-Yan;  Li, You-Tang;  Lei, Chunli;  He, Guiping 收藏  |  浏览/下载：1/0  |  提交时间：2020/11/15 Approximation theory  Backpropagation  Ceramic materials  Ceramic matrix composites  Data flow analysis  Forecasting  Neural networks  Powder metallurgy  Residual stresses  Thermal stress  AL2O3/A356 CMCs  Approximate methods  Artificial Neural Network  Ceramic composites  Error evaluation  Experimental data  Mean relative error  Performance of systems  Prediction techniques  Residual strains  Thermal expansion behavior  Trained neural networks  Training model   Application of ANN back-propagation for fracture design parameters in extra-low cycle rotating bending fatigue 会议论文 Chongqing, China, June 9, 2008 - June 12, 2008 作者:  Duan, Hongyan;  Li, Youtang;  Zhang, Jin;  He, Guiping 收藏  |  浏览/下载：0/0  |  提交时间：2020/11/15 Aluminum alloys  Backpropagation  Cast iron  Fatigue of materials  Fracture  Eco-materials  Extra-low cycle  Fracture design  Neural network model  Number of hidden neurons  Performance of systems  Rotating bending fatigue  Trained neural networks