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北京航空航天大学 [8]
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期刊论文 [28]
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浏览/检索结果:
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Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2023, 页码: 27
作者:
Zhao, Tianhong
;
Huang, Zhengdong
;
Tu, Wei
;
Biljecki, Filip
;
Chen, Long
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/16
Graph deep learning
multiview learning
travel demand prediction
multimodal transportation
smart card data
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis
期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:
Chizhan Zhang
;
Fenghua Zhu
;
Yisheng Lv
;
Peijun Ye
;
Feiyue Wang
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/06/16
Taxi demand prediction
taxi zone clustering
heterogeneity analysis
deep learning
Taxi Demand Prediction Using Parallel Multi-Task Learning Model
期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 99, 期号: 1, 页码: 1-10
作者:
Chizhan Zhang
;
Fenghua Zhu
;
Xiao Wang
;
Leilei Sun
;
Haina Tang
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/10/15
Taxi demand prediction, pick-up/drop-off demand, multi-task learning, LSTM, deep learning
Exploring the Side Information Fusion Method with Spatial-temporal Model for Taxi Demand Prediction
会议论文
中国 厦门, 2020-7-24
作者:
Jia Mou
;
Yu Liu
;
Dongchang Liu
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2021/05/27
SideInfo-STNet
Spatial-temporal data
Taxi demand prediction
Deep learning
Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships
期刊论文
NEUROIMAGE, 2020, 卷号: 207, 期号: 116370, 页码: 11
作者:
Jiang, Rongtao
;
Zuo, Nianming
;
Ford, Judith M.
;
Qi, Shile
;
Zhi, Dongmei
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2020/03/30
Individualized prediction
Reading comprehension
Task state
Functional connectivity
Cognitive demand
Understanding multiple days’ metro travel demand at aggregate level
期刊论文
IET Intelligent Transport Systems, 2019, 卷号: 13, 期号: 5, 页码: 756-763
作者:
Duan, Zhengyu*
;
Lei, Zengxiang
;
Zhang, Michael
;
Li, Haifeng
;
Yang, Dongyuan
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/12/03
traffic engineering computing
singular value decomposition
intelligent transportation systems
data analysis
day-to-day variation
day-to-day regularity
metro networks
daily metro travel demand
short-term travel demand prediction
aggregate level
singular value decomposition
intrinsic structure
metro operation schedule
origin-destination matrix
Hourly Urban Water Demand Forecasting Using the Continuous Deep Belief Echo State Network.
期刊论文
Water, 2019, 卷号: Vol.11 No.2, 页码: 351
作者:
Xu, Yuebing
;
Zhang, Jing
;
Long, Zuqiang
;
Tang, Hongzhong
;
Zhang, Xiaogang
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/13
CDBESN model
continuous deep belief network
echo state network
hourly water demand prediction
Hourly Urban Water Demand Forecasting Using the Continuous Deep Belief Echo State Network.
期刊论文
Water, 2019, 卷号: Vol.11 No.2, 页码: 351
作者:
Xu, Yuebing
;
Zhang, Jing
;
Long, Zuqiang
;
Tang, Hongzhong
;
Zhang, Xiaogang
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/13
CDBESN model
continuous deep belief network
echo state network
hourly water demand prediction
Hourly Urban Water Demand Forecasting Using the Continuous Deep Belief Echo State Network
期刊论文
WATER, 2019, 卷号: Vol.11 No.2
作者:
Xu, YB
;
Zhang, J
;
Long, ZQ
;
Tang, HZ
;
Zhang, XG
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/17
hourly water demand prediction
continuous deep belief network
echo state network
CDBESN model
Hourly Urban Water Demand Forecasting Using the Continuous Deep Belief Echo State Network
期刊论文
Water (Switzerland), 2019, 卷号: 11, 期号: 2
作者:
Xu, Yuebing*
;
Zhang, Jing
;
Long, Zuqiang
;
Tang, Hongzhong
;
Zhang, Xiaogang*
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/24
CDBESN model
Continuous deep belief network
Echo state network
Hourly water demand prediction
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