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	Tunable and Transferable RBF Model for Short-Term Traffic Forecasting
	Cai, Pinlong; Wang, Yunpeng; Lu, Guangquan
刊名	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
	2019
卷号	20页码:4134-4144
关键词	Roads Forecasting Predictive models Correlation Spatiotemporal phenomena Adaptation models Time series analysis Short-term traffic forecasting detrended cross-correlation analysis (DCCA) radial basis function (RBF) neural network on-line learning transfer forecasting
ISSN号	1524-9050
DOI	10.1109/TITS.2018.2882814
URL标识	查看原文
收录类别	SCIE ; EI
WOS记录号	WOS:000497800700012
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5914756
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Cai, Pinlong,Wang, Yunpeng,Lu, Guangquan. Tunable and Transferable RBF Model for Short-Term Traffic Forecasting[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2019,20:4134-4144.
APA	Cai, Pinlong,Wang, Yunpeng,&Lu, Guangquan.(2019).Tunable and Transferable RBF Model for Short-Term Traffic Forecasting.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,20,4134-4144.
MLA	Cai, Pinlong,et al."Tunable and Transferable RBF Model for Short-Term Traffic Forecasting".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 20(2019):4134-4144.

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