Intelligent fault detection of high-speed railway turnout based on hybrid deep learning | |
Zhuang, Zhi; Zhang, Guohua; Dong, Wei; Sun, Xinya; Wang, Chuanjiang | |
2018 | |
会议名称 | 31st Australasian Joint Conference on Artificial Intelligence, AI 2018 |
会议日期 | December 11, 2018 - December 14, 2018 |
卷号 | 11320 LNAI |
DOI | 10.1007/978-3-030-03991-2_10 |
页码 | 98-103 |
收录类别 | EI |
会议录 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
URL标识 | 查看原文 |
内容类型 | 会议论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/6025710 |
专题 | 山东大学 |
作者单位 | 1.Shandong University of Science and Technology, Qingdao, China 2.Department of Automation, Tsinghua Univer |
推荐引用方式 GB/T 7714 | Zhuang, Zhi,Zhang, Guohua,Dong, Wei,et al. Intelligent fault detection of high-speed railway turnout based on hybrid deep learning[C]. 见:31st Australasian Joint Conference on Artificial Intelligence, AI 2018. December 11, 2018 - December 14, 2018. |
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