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自动化研究所 [8]

山东大学 [2]

兰州理工大学 [1]

新疆理化技术研究所 [1]

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	Attention Enhanced Reinforcement Learning for Multi agent Cooperation 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15 作者: Pu, Zhiqiang; Wang, Huimu; Liu, Zhen; Yi, Jianqiang; Wu, Shiguang 收藏 \| 浏览/下载：22/0 \| 提交时间：2022/06/06 Training Reinforcement learning Games Scalability Task analysis Standards Optimization Attention mechanism deep reinforcement learning (DRL) graph convolutional networks multi agent systems
	Payment behavior prediction on shared parking lots with TR-GCN 期刊论文 VLDB JOURNAL, 2022, 页码: 24 作者: Xu, Qingyu; Zhang, Feng; Zhang, Mingde; Zhai, Jidong; He, Bingsheng 收藏 \| 浏览/下载：42/0 \| 提交时间：2022/02/16
	Recognizing the Level of Organizational Commitment Based on Deep Learning Methods and EEG 会议论文中国上海, 2022-4-30 作者: Zhang R(张睿); Wang ZY(王子洋); Yang FM(杨芳梅); Liu Y(刘禹) 收藏 \| 浏览/下载：8/0 \| 提交时间：2022/06/14
	Quantitative Assessment of Hand Motor Function for Post-Stroke Rehabilitation Based on HAGCN and Multimodality Fusion 期刊论文 IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2022, 卷号: 30, 页码: 2032-2041 作者: Li, Chenguang; Yang, Hongjun; Cheng, Long; Huang, Fubiao; Zhao, Shuang 收藏 \| 浏览/下载：36/0 \| 提交时间：2022/09/19 Hemorrhaging Thumb Stroke (medical condition) Kinematics Feature extraction Wrist Correlation Hand motor function quantitative assessment multi-modality fusion graph convolutional network
	Attention enhanced reinforcement learning for multi-agent cooperation 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2022, 期号: 2022, 页码: 1-15 作者: Zhiqiang Pu; Huimu Wang; Zhen Liu; Jianqiang Yi; Shiguang Wu 收藏 \| 浏览/下载：47/0 \| 提交时间：2022/04/02 Attention mechanism deep reinforcement learning (DRL) graph convolutional networks multi agent systems
	A deep learning traffic flow prediction framework based on multi-channel graph convolution 期刊论文 TRANSPORTATION PLANNING AND TECHNOLOGY, 2021, 卷号: 44, 期号: 8, 页码: 887-900 作者: Zhao, Yuanmeng; Cao, Jie; Zhang, Hong; Liu, Zongli 收藏 \| 浏览/下载：6/0 \| 提交时间：2021/12/17 Traffic flow deep learning graph convolution (GCN) Long Short-Term Memory (LSTM) spatial-temporal features
	STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-Agent Cooperation 会议论文线上, 2020-11 作者: Huimu Wang; Zhen Liu; Zhiqiang Pu; Jianqiang Yi 收藏 \| 浏览/下载：9/0 \| 提交时间：2021/06/24
	Time-Series Classification Based on Fusion Features of Sequence and Visualization 期刊论文 APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 12, 页码: 1-25 作者: Wang, BQ (Wang, Baoquan)[ 1,2,3 ]; Jiang, TH (Jiang, Tonghai)[ 1,3 ]; Zhou, X (Zhou, Xi)[ 1,3 ]; Ma, B (Ma, Bo)[ 1,2,3 ]; Zhao, F (Zhao, Fan)[ 1,3 ] 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/09/09 time series data classification fusion feature visualization area graph attention
	Hand Gesture Recognition Using Instant High-density EMG Graph via Deep Learning Method 会议论文 Shanghai, China, November 6-8, 2021 作者: Xiong DZ(熊德臻); Zhang DH(张道辉); Zhao XG(赵新刚); Zhao YW(赵忆文) 收藏 \| 浏览/下载：22/0 \| 提交时间：2021/03/14 Electromyography (EMG) instant EMG graph deep learning RNN
	A novel residual graph convolution deep learning model for short-term network-based traffic forecasting 期刊论文 INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 34, 期号: 5, 页码: 27 作者: Zhang, Yang; Cheng, Tao; Ren, Yibin; Xie, Kun 收藏 \| 浏览/下载：16/0 \| 提交时间：2020/03/20 Short-term traffic forecasting spatial-temporal dependency network topology graph convolution residual long short-term memory

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