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A recurrent neural network for urban long-term traffic flow forecasting

机译：城市长期交通流量预测的经常性神经网络

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Asma Belhadi; Youcef Djenouri; Djamel Djenouri; Jerry Chun-Wei Lin;
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1. A recurrent neural network for urban long-term traffic flow forecasting [J] . Belhadi Asma, Djenouri Youcef, Djenouri Djamel, Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies . 2020,第10期

机译：城市长期交通流量预测的经常性神经网络
2. Urban traffic flows forecasting by recurrent neural networks with spiral structures of layers [J] . Osipov Vasiliy, Nikiforov Victor, Zhukova Nataly, Neural computing & applications . 2020,第18期

机译：具有螺旋结构的经常性神经网络的城市交通流量预测
3. Hybrid Recurrent Traffic Flow Model with Artificial Neural Networks For Approximation of Unknown Urban Road Subnetworks [J] . Elena Sofronova, Askhat Diveev Procedia Computer Science . 2021,第a期

机译：具有人工神经网络的杂交经常性交通流模型，用于近似城市道路子网的近似
4. New models for long-term Internet traffic forecasting using artificial neural networks and flow based information [C] . Miguel Marcio L. F., Penna Manoel C., Nievola Julio C., Network Operations and Management Symposium (NOMS), 2012 IEEE . 2012

机译：使用人工神经网络和基于流的信息进行长期Internet流量预测的新模型
5. Time Series Forecasting Using Dual-Stage Attention-Based Recurrent Neural Network [D] . Moradi, Mahdi. 2020

机译：采用双阶段关注经常性神经网络预测的时间序列预测
6. Improving Road Traffic Forecasting Using Air Pollution and Atmospheric Data: Experiments Based on LSTM Recurrent Neural Networks [O] . Faraz Malik Awan, Roberto Minerva, Noel Crespi 2020

机译：利用空气污染和大气数据改善道路交通预测：基于LSTM经常性神经网络的实验
7. Short-Term Road Speed Forecasting Based on Hybrid RBF Neural Network With the Aid of Fuzzy System-Based Techniques in Urban Traffic Flow [O] . Chun Ai, Lijun Jia, Mei Hong, 2020

机译：基于混合RBF神经网络的短期路速预测借助于城市交通流量模糊系统的技术

A recurrent neural network for urban long-term traffic flow forecasting

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