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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 IDENTIFICATION OF UNIVERSALLY OPTIMAL CIRCULAR DESIGNS FOR THE INTERFERENCE MODEL 其他 2017-01-01 Zheng, Wei; Ai, Mingyao; Li, Kang 收藏  |  浏览/下载：3/0  |  提交时间：2017/12/03 Approximate design theory  circular design  interference model  linear equations system  universal optimality  NEIGHBOR-BALANCED DESIGNS  CORRELATED OBSERVATIONS  INTERPLOT INTERFERENCE  BLOCK-DESIGNS  TRIALS  COMPETITION  ADJUSTMENT  GENOTYPES  PLOTS   Research on design scheme and hydrodynamic performance of floating body based on sandglass-type FDPSO 期刊论文 SHIPS AND OFFSHORE STRUCTURES, 2016, 卷号: 11, 页码: 540-550 作者:  Wang, Wen-hua;  Yao, Yu-xin;  Ye, Mao-sheng;  Wang, Lin-lin;  Huang, Yi 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/09 sandglass-type FDPSO  wave potential theory  engineering approximate method  design guideline for new floating body  comparison of hydrodynamic performance   OPTIMAL DESIGNS FOR THE PROPORTIONAL INTERFERENCE MODEL 其他 2015-01-01 Li, Kang; Zheng, Wei; Ai, Mingyao 收藏  |  浏览/下载：5/0  |  提交时间：2017/12/03 Approximate design theory  equivalence theorem  interference model  optimal design  proportional model  NEIGHBOR-BALANCED DESIGNS  OPTIMAL CROSSOVER DESIGNS  UNIVERSALLY OPTIMAL DESIGNS  CORRELATED OBSERVATIONS  COMPETITION  ADJUSTMENT  TRIALS   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：3/0  |  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