Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
AAAI 2017, ST-ResNet,网格流量预测,用三个相同结构的残差卷积神经网络对近邻时间、周期、趋势(远期)分别建模。与 RNN 相比,RNN 无法处理序列长度过大的序列。三组件的输出结果进行集成,然后和外部因素集成,得到预测结果。原文地址:Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction