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中国科学院机构知识库网格

Chinese Academy of Sciences Institutional Repositories Grid

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	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：20/0 \| 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：12/0 \| 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：16/0 \| 提交时间：2021/02/02 Ni-Cr-Mo-V steel Deep sea corrosion Design of experiment Artificial neural network