School of Traffic and Transportation Beijing Jiaotong UniversityBeijing, 100044, PR China Beijing;
State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing, 100044, PR China;
School of Traffic and Transportation Beijing Jiaotong UniversityBeijing, 100044, PR China Beijing;
Guangzhou Metro Corporation Guangzhou, 510310, PR China;
School of Traffic and Transportation Beijing Jiaotong UniversityBeijing, 100044, PR China Beijing;
State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing, 100044, PR China;
Forecasting; Artificial neural networks; Recurrent neural networks; Logic gates; Biological neural networks; Predictive models; Rails;
机译:基于MIC特征选择的轨道交通站和ST-LIGHTGBM考虑转换乘客的短期客运
机译:城市轨道交通短期客流预测的多图卷积网络
机译:基于GPR和KRR的城市轨道交通短期客流预测
机译:基于长短期记忆神经网络的轨道交通乘客的短期预测
机译:使用人工神经网络的短期流量预测。
机译:校正:基于经验模式分解的短期短期内存神经网络预测模型的短期地铁乘客流量
机译:基于MIC特征选择的轨道交通站和ST-LIGHTGBM考虑转换乘客的短期客运