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科研机构
北京航空航天大学 [18]
内容类型
会议论文 [18]
发表日期
2019 [5]
2018 [8]
2017 [4]
2016 [1]
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内容类型:会议论文
专题:北京航空航天大学
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High and Low Prices Prediction of Soybean Futures with LSTM Neural Network
会议论文
Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS, 2018-11-23
作者:
Wang, C.
;
Gao, Q.
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/12/30
Costs
Electronic trading
Financial markets
Forecasting
Profitability
Software engineering
BP neural networks
Commodity exchange
High price
low prices
Mean absolute error
Prediction model
Price prediction
soybean futures
Long short-term memory
PLSTMNet: A New Neural Network for Segmentation of Point Cloud
会议论文
2018 11th International Workshop on Human Friendly Robotics, HFR 2018, 2018-11-13
作者:
Zhao, J.
;
Liu, C.
;
Zhang, B.
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Deep learning
Network architecture
Robotics
Semantics
Descriptors
Irregular data
Learning network
Local geometry
Point cloud
Semantic segmentation
Long short-term memory
Memory network for tracking with deep regression
会议论文
IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018, 2018-12-12
作者:
Deng, Y.
;
Zheng, H.
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Image recognition
Object recognition
Regression analysis
Target tracking
Competitive performance
Memory network
regression
stacked LSTM
State-of-the-art performance
Tracking by detections
Visual object tracking
Visual Tracking
Long short-term memory
A DEEP NEURAL NETWORK BASED MANEUVERING-TARGET TRACKING ALGORITHM
会议论文
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019-01-01
作者:
Liu, Jingxian
;
Wang, Zulin
;
Xu, Mai
;
Ren, Jie
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Maneuvering-target tracking
bidirectional long short-term memory network
multiple models
trajectory database
Efficient and effective sparse LSTM on FPGA with bank-balanced sparsity
会议论文
FPGA 2019 - Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019-02-24
作者:
Cao, S.
;
Zhang, C.
;
Yao, Z.
;
Xiao, W.
;
Nie, L.
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/30
Deep neural networks
Energy efficiency
Field programmable gate arrays (FPGA)
Logic gates
Matrix algebra
Bank-Balanced Sparsity
Compression techniques
FPGA implementations
Inference
Irregular computations
LSTM
Sparse matrix formats
Weight Pruning
Long short-term memory
Application of long short-term memory neural network for multi-step travel time forecasting on urban expressways
会议论文
17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017, Shanghai, China, 2017-07-07
作者:
Zhang, Zhihao
;
Wang, Yunpeng
;
Chen, Peng
;
Yu, Guizhen
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Traffic congestion prediction based on long-short term memory neural network models
会议论文
17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017, Shanghai, China, 2017-07-07
作者:
Chen, Min
;
Yu, Guizhen
;
Chen, Peng
;
Wang, Yungpeng
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Application of long short-term memory neural network for multi-step travel time forecasting on urban expressways
会议论文
CICTP 2017: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals
作者:
Zhang, Z.
;
Wang, Y.
;
Chen, P.
;
Yu, G.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Brain
Long short-term memory
Network architecture
Traffic control
Travel time
Non-parametric algorithm
Probe vehicle data
State of the art
Temporal evolution
Time series method
Traffic features
Travel time forecasting
Urban expressway
Deep learning
Traffic congestion prediction based on long-short term memory neural network models
会议论文
CICTP 2017: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals
作者:
Chen, M.
;
Yu, G.
;
Chen, P.
;
Wang, Y.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/30
Brain
Complex networks
Deep learning
Forecasting
Long short-term memory
Motor transportation
Speed
Urban transportation
Congestion prediction
Learning Theory
Mathematical equations
Simulation technique
Spatial correlations
Temporal and spatial correlation
Traffic speed
Transportation researchers
Traffic congestion
Attentive crowd flow machines
会议论文
MM 2018 - Proceedings of the 2018 ACM Multimedia Conference
作者:
Liu, L.
;
Zhang, R.
;
Peng, J.
;
Li, G.
;
Du, B.
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/30
Data storage equipment
Forecasting
Street traffic control
Dynamic representation
Mobility datum
Spatial temporal model
Spatial-temporal features
State-of-the-art methods
Traffic flow prediction
Unified neural networks
Urban traffic management
Long short-term memory
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