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1 Ergebnisse
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DDFM: A Novel Perspective on Urban Travel Demand Forecastin..:
, In:
Proceedings of the 5th International Conference on Big Data Technologies
,
Ye, Rongkun
;
Xu, Zhihao
;
Pang, Junjie
- p. 373-379 , 2022
Link:
https://dl.acm.org/doi/10.1145/3565291.3565351
RT T1 <cTitle>Proceedings of the 5th International Conference on Big Data Technologies</cTitle>: T1 <Title>DDFM: A Novel Perspective on Urban Travel Demand Forecasting Based on the Ensemble Empirical Mode Decomposition and Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3565351&Exemplar=1&LAN=DE A1 Ye, Rongkun A1 Xu, Zhihao A1 Pang, Junjie PB ACM YR 2022 K1 Complex Nonlinear Fluctuation Patterns K1 Ensemble Empirical Mode Decomposition K1 Long Short-term Memory K1 Urban Travel Demand K1 Computing methodologies K1 Artificial intelligence K1 Machine learning SP 373 OP 379 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3565291.3565351 DO https://dl.acm.org/doi/10.1145/3565291.3565351 SF ELIB - SuUB Bremen
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