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浏览/检索结果: 共8条，第1-8条 帮助 限定条件 发表日期：2019     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 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   Short-Term Demand Prediction Method for Online Car-Hailing Services Based on a Least Squares Support Vector Machine 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 11882-11891 作者:  Jiang, Shan;  Chen, Wentian;  Li, Zhiheng;  Yu, Haiyang 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30 Online car-hailing services  demand prediction  LS-SVM   Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network 会议论文 KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019-01-01 作者:  Ye, Junchen;  Sun, Leilei;  Du, Bowen;  Fu, Yanjie;  Tong, Xinran 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/30 Demand Prediction  Spatio-Temporal Analysis  Sharing Economy  Deep Neural Network   Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling 会议论文 KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019-01-01 作者:  Wang, Yuandong;  Yin, Hongzhi;  Chen, Hongxu;  Wo, Tianyu;  Xu, Jie 收藏  |  浏览/下载：11/0  |  提交时间：2019/12/30 Demand Prediction  Graph Convolution  Multi-task Learning