LSTM network: a deep learning approach for short-term traffic forecast | |
Zhao, Zheng; Chen, Weihai; Wu, Xingming; Chen, Peter C.V.; Liu, Jingmeng | |
刊名 | IET INTELLIGENT TRANSPORT SYSTEMS |
2017 | |
卷号 | 11页码:68-75 |
关键词 | learning (artificial intelligence) intelligent transportation systems road traffic control recurrent neural nets LSTM network LSTM deep-learning approach short-term traffic forecasting intelligent transportation system travel modes travel routes departure time traffic management traffic data analysis computation power long-short-term memory network temporal-spatial correlation two-dimensional network memory units |
ISSN号 | 1751-956X |
DOI | 10.1049/iet-its.2016.0208 |
URL标识 | 查看原文 |
收录类别 | SCIE ; EI |
WOS记录号 | WOS:000394500300061 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5941139 |
专题 | 北京航空航天大学 |
推荐引用方式 GB/T 7714 | Zhao, Zheng,Chen, Weihai,Wu, Xingming,et al. LSTM network: a deep learning approach for short-term traffic forecast[J]. IET INTELLIGENT TRANSPORT SYSTEMS,2017,11:68-75. |
APA | Zhao, Zheng,Chen, Weihai,Wu, Xingming,Chen, Peter C.V.,&Liu, Jingmeng.(2017).LSTM network: a deep learning approach for short-term traffic forecast.IET INTELLIGENT TRANSPORT SYSTEMS,11,68-75. |
MLA | Zhao, Zheng,et al."LSTM network: a deep learning approach for short-term traffic forecast".IET INTELLIGENT TRANSPORT SYSTEMS 11(2017):68-75. |
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