机构

• 金属研究所 [11]

采集方式

• OAI收割 [11]

内容类型

• 期刊论文 [11]

发表日期

• 2019 [3]
• 2017 [1]
• 2016 [1]
• 2013 [2]
• 2009 [1]
• 2008 [1]
• 更多

学科主题

• Multidisci... [1]

筛选

浏览/检索结果: 共11条，第1-10条 帮助 限定条件 专题：金属研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Modeling the corrosion behavior of Ni-Cr-Mo-V high strength steel in the simulated deep sea environments using design of experiment and artificial neural network 期刊论文  OAI收割 JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2019, 卷号: 35, 期号: 1, 页码: 168-175 作者:  Hu, Qiangfei;  Liu, Yuchen;  Zhang, Tao;  Geng, Shujiang;  Wang, Fuhui   |  收藏  |  浏览/下载：9/0  |  提交时间：2021/02/02 Ni-Cr-Mo-V steel  Deep sea corrosion  Design of experiment  Artificial neural network   Modeling the corrosion behavior of Ni-Cr-Mo-V high strength steel in the simulated deep sea environments using design of experiment and artificial neural network 期刊论文  OAI收割 JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2019, 卷号: 35, 期号: 1, 页码: 168-175 作者:  Hu, Qiangfei;  Liu, Yuchen;  Zhang, Tao;  Geng, Shujiang;  Wang, Fuhui   |  收藏  |  浏览/下载：5/0  |  提交时间：2021/02/02 Ni-Cr-Mo-V steel  Deep sea corrosion  Design of experiment  Artificial neural network   Modeling the corrosion behavior of Ni-Cr-Mo-V high strength steel in the simulated deep sea environments using design of experiment and artificial neural network 期刊论文  OAI收割 JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2019, 卷号: 35, 期号: 1, 页码: 168-175 作者:  Hu, Qiangfei;  Liu, Yuchen;  Zhang, Tao;  Geng, Shujiang;  Wang, Fuhui   |  收藏  |  浏览/下载：3/0  |  提交时间：2021/02/02 Ni-Cr-Mo-V steel  Deep sea corrosion  Design of experiment  Artificial neural network   Lifetime prediction for organic coating under alternating hydrostatic pressure by artificial neural network 期刊论文  OAI收割 SCIENTIFIC REPORTS, 2017, 卷号: 7, 页码: - Tian, Wenliang; Meng, Fandi; Liu, Li; Li, Ying; Wang, Fuhui 收藏  |  浏览/下载：23/0  |  提交时间：2017/08/17 Observer Design Based on Self-Recurrent Consequent-Part Fuzzy Wavelet Neural Network 期刊论文  OAI收割 TSINGHUA SCIENCE AND TECHNOLOGY, 2016, 卷号: 21, 期号: 5, 页码: 544-551 作者:  Wen Xin;  Li Xin   |  收藏  |  浏览/下载：7/0  |  提交时间：2021/02/02 NONLINEAR-SYSTEMS  STATE OBSERVER  CONTROLLER  FEEDBACK  HYBRID  Takagi-Sugeno-Kang (TSK) fuzzy model  activation functions  state observer  nonlinear systems  simulation   Prediction of mechanical properties of A357 alloy using artificial neural network 期刊论文  OAI收割 TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA, 2013, 卷号: 23, 期号: 3, 页码: 788-795 作者:  Yang Xiawei;  Zhu Jingchuan;  Nong Zhisheng;  He Dong;  Lai Zhonghong   |  收藏  |  浏览/下载：10/0  |  提交时间：2021/02/02 ALUMINUM-ALLOY  PARAMETERS  A357 alloy  mechanical properties  artificial neural network  heat treatment parameters   Prediction of mechanical properties of A357 alloy using artificial neural network 期刊论文  OAI收割 TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA, 2013, 卷号: 23, 期号: 3, 页码: 788-795 作者:  Yang Xiawei;  Zhu Jingchuan;  Nong Zhisheng;  He Dong;  Lai Zhonghong   |  收藏  |  浏览/下载：7/0  |  提交时间：2021/02/02 ALUMINUM-ALLOY  PARAMETERS  A357 alloy  mechanical properties  artificial neural network  heat treatment parameters   Initial guess of rigid plastic finite element method in hot strip rolling 期刊论文  OAI收割 Journal of Materials Processing Technology, 2009, 卷号: 209, 期号: 4, 页码: 1816-1825 G. L. Zhang; S. H. Zhang; J. S. Liu; H. Q. Zhang; C. S. Li; R. B. Mei 收藏  |  浏览/下载：17/0  |  提交时间：2012/04/13 Rigid plastic finite element method  Strip rolling  Initial guess  Neural network  metal-forming processes  neural-network  diagonal matrix  simulation  force  mill  fem   RESEARCH ON FAST RIGID PLASTICITY FINITE ELEMENT METHOD IN STRIP ROLLING 期刊论文  OAI收割 Steel Research International, 2008, 页码: 417-423 C. S. Li; R. B. Mei; G. L. Zhang; S. N. Song; X. H. Liu 收藏  |  浏览/下载：11/0  |  提交时间：2012/04/13 finite element method  strip rolling  algorithm  domain decomposition   Prediction of the properties of hot rolling strip by using regression and neural network 期刊论文  OAI收割 ACTA METALLURGICA SINICA, 2003, 卷号: 39, 期号: 10, 页码: 1110-1114 作者:  Mo, CL;  Li, Q;  Li, DZ;  Feng, F;  Zhan, ZD   |  收藏  |  浏览/下载：5/0  |  提交时间：2021/02/02 hot rolling strip  neural network  regression