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基于订单数据挖掘的城市出租车需求预测研究 学位论文
工学硕士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2021
Authors:  张驰展
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出租车需求预测,数据挖掘,多任务学习,长短期记忆网络,深度学习  
基于图神经网络的公共交通客流量预测方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2021
Authors:  张伟
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公共交通客流量预测  图神经网络  注意力机制  自适应图学习  
基于注意力机制和分时图卷积的公交客流预测 期刊论文
模式识别与人工智能, 2021, 卷号: 34, 期号: 2, 页码: 167-175
Authors:  张伟;  朱风华;  吕宜生;  陈圆圆
Adobe PDF(955Kb)  |  Favorite  |  View/Download:18/2  |  Submit date:2021/05/27
智能交通  公交客流预测  递归神经网络  通道注意力模块  分时图卷积  
A Multi-Stream Feature Fusion Approach for Traffic Prediction 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 99, 期号: 1, 页码: 1-10
Authors:  Zhishuai Li;  Gang Xiong;  Yonglin Tian;  Yisheng Lv;  Yuanyuan Chen;  Pan Hui;  Xiang Su
View  |  Adobe PDF(3572Kb)  |  Favorite  |  View/Download:33/11  |  Submit date:2020/10/15
Traffic prediction, graph convolutional neural network, deep learning, multi-stream  
Differential Time-variant Traffic Flow Prediction Based on Deep Learning 会议论文
, Rhodes, Greece, September 20-23, 2020
Authors:  Wei Zhang;  Fenghua Zhu;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
View  |  Adobe PDF(801Kb)  |  Favorite  |  View/Download:46/18  |  Submit date:2020/10/20
Differential Time-variant Traffic Flow Prediction Based on Deep Learning 会议论文
, Rhodes, Greece, 20-23 Sept. 2020
Authors:  Wei, Zhang;  Fenghua, Zhu;  Yuanyuan, Chen;  Xiao, Wang;  Gang, Xiong;  Fei-Yue, Wang
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DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 卷号: 103, 页码: 142-157
Authors:  Dai, Xingyuan;  Fu, Rui;  Zhao, Enmin;  Zhang, Zuo;  Lin, Yilun;  Wang, Fei-Yue;  Li, Li
Favorite  |  View/Download:63/0  |  Submit date:2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2395-2400
Authors:  Lin, Yilun;  Dai, Xingyuan;  Li, Li;  Wang, Fei-Yue
View  |  Adobe PDF(623Kb)  |  Favorite  |  View/Download:190/110  |  Submit date:2019/05/07
Traflic flow prediction  deep learning  generative adversarial network  
平行学习理论及其在智能交通系统中的应用 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  林懿伦
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平行学习  强化学习  深度学习  智能交通系统  
Generative Adversarial Networks for Parallel Transportation Systems 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2018, 卷号: 10, 期号: 3, 页码: 4-10
Authors:  Lv, Yisheng;  Chen, Yuanyuan;  Li, Li;  Wang, Fei-Yue
View  |  Adobe PDF(2164Kb)  |  Favorite  |  View/Download:151/7  |  Submit date:2018/01/08
Generative Adversarial Networks  Parallel Transportation Systems  Acp  Deep Learnin  Parallel Learning  Parallel Intelligence