PM2.5 Concentration Forecasting in Industrial Parks Based on Attention Mechanism Spatiotemporal Graph Convolutional Networks

Table 3

Parameters of training model.

Parameters	Value
Observation window	144
Forecast window	1
Epoch	100
Batch size	128
The size of the graph convolution kernel	3
The size of the temporal convolution kernel	3
Learning rate	0.001
Optimization technology	Adam
Loss function	MSE
Training set: validation set: test set	8 : 1 : 1