Features Injected Recurrent Neural Networks for Short-term Traffic Speed Prediction

Neurocomputing ◽

10.1016/j.neucom.2021.03.054 ◽

2021 ◽

Author(s):

Licheng Qu ◽

Jiao Lv ◽

Wei Li ◽

Dongfang Ma ◽

Haiwei Fan

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Speed Prediction ◽

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ECT-LSTM-RNN: An Electrical Capacitance Tomography Model-based Long Short-Term Memory Recurrent Neural Networks for Conductive Materials

IEEE Access ◽

10.1109/access.2021.3079447 ◽

2021 ◽

pp. 1-1

Author(s):

Wael Deabes ◽

Alaa Sheta ◽

Malik Braik

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Short Term Memory ◽

Electrical Capacitance Tomography ◽

Electrical Capacitance ◽

Term Memory ◽

Conductive Materials ◽

Long Short Term Memory ◽

Capacitance Tomography

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A Short-term Traffic Speed Prediction Model Based on LSTM Networks

International Journal of Intelligent Transportation Systems Research ◽

10.1007/s13177-021-00260-7 ◽

2021 ◽

Author(s):

Yu-Ling Hsueh ◽

Yu-Ren Yang

Keyword(s):

Prediction Model ◽

Model Based ◽

Speed Prediction ◽

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Empirical modeling of ethanol production dynamics using long short-term memory recurrent neural networks

Bioresource Technology Reports ◽

10.1016/j.biteb.2021.100724 ◽

2021 ◽

pp. 100724

Author(s):

Felipe Matheus Mota Sousa ◽

Rodolpho Rodrigues Fonseca ◽

Flávio Vasconcelos da Silva

Keyword(s):

Neural Networks ◽

Ethanol Production ◽

Recurrent Neural Networks ◽

Short Term Memory ◽

Empirical Modeling ◽

Term Memory ◽

Long Short Term Memory ◽

Production Dynamics

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Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

Energy Conversion and Management ◽

10.1016/j.enconman.2021.113917 ◽

2021 ◽

Vol 233 ◽

pp. 113917

Author(s):

Ming-De Liu ◽

Lin Ding ◽

Yu-Long Bai

Keyword(s):

Neural Networks ◽

Empirical Mode Decomposition ◽

Hybrid Model ◽

Recurrent Neural Networks ◽

Wind Speed Prediction ◽

Model Based ◽

Mode Decomposition ◽

Speed Prediction

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Multistep Traffic Speed Prediction from Spatial–Temporal Dependencies Using Graph Neural Networks

Journal of Transportation Engineering Part A Systems ◽

10.1061/jtepbs.0000600 ◽

2021 ◽

Vol 147 (12) ◽

pp. 04021082

Author(s):

Xuesong Wu ◽

Jie Fang ◽

Zhijia Liu ◽

Xiongwei Wu

Keyword(s):

Neural Networks ◽

Speed Prediction ◽

Traffic Speed ◽

Graph Neural Networks ◽

Temporal Dependencies

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Towards end-to-end speech recognition for Chinese Mandarin using long short-term memory recurrent neural networks

10.21437/interspeech.2015-717 ◽

2015 ◽

Author(s):

Jie Li ◽

Heng Zhang ◽

Xinyuan Cai ◽

Bo Xu

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Recurrent Neural Networks ◽

Short Term Memory ◽

Term Memory ◽

Long Short Term Memory ◽

Chinese Mandarin

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Parameter compression of recurrent neural networks and degradation of short-term memory

2017 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2017.7965943 ◽

2017 ◽

Author(s):

Jonathan A. Cox

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Short Term Memory ◽

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Combining auto-regression with exogenous variables in sequence-to-sequence recurrent neural networks for short-term load forecasting

2018 IEEE 16th International Conference on Industrial Informatics (INDIN) ◽

10.1109/indin.2018.8471953 ◽

2018 ◽

Author(s):

Henning Wilms ◽

Marco Cupelli ◽

Antonello Monti

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Load Forecasting ◽

Exogenous Variables ◽

Short Term Load Forecasting ◽

Auto Regression

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A Multitask Learning Neural Network for Short-Term Traffic Speed Prediction and Confidence Estimation

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning ◽

10.1007/978-3-030-30484-3_36 ◽

2019 ◽

pp. 434-449 ◽

Author(s):

Yanyun Tao ◽

Xiang Wang ◽

Yuzhen Zhang

Keyword(s):

Neural Network ◽

Multitask Learning ◽

Confidence Estimation ◽

Speed Prediction ◽

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Detecting overlapping speech with long short-term memory recurrent neural networks

10.21437/interspeech.2013-27 ◽

2013 ◽

Author(s):

Jürgen T. Geiger ◽

Florian Eyben ◽

Björn Schuller ◽

Gerhard Rigoll

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Short Term Memory ◽

Term Memory ◽

Long Short Term Memory

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