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时空预测2-GCN_LSTM
2022-06-30 12:06:00 【YueTann】
参考: https://keras.io/examples/timeseries/timeseries_traffic_forecasting/
任务:
交通多步预测
准备数据
节点:228
计算每个节点之间的距离: 288 * 288
速度: 12672 * 288,时间 * 节点
为简化说明,只选取了26个节点
训练:6336 * 26
验证:2534 * 26
测试:3802 * 26
图数据
构图:邻接矩阵
模型
输入: batch * time_steps * node * feature
transpose: node * batch * time_steps * feature
GCN:周边消息传播
transpose: batch * node, time_steps, feature
LSTM:
dense: batch * node, pred_time_steps
output reshape: batch, pred_time_steps, node
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