A Prediction Network for Hydraulic Support Pressure Based on Multitimescale Feature Extraction

Table 1

Model parameters used for training.

Parameters	Value
Input time steps	20
Temporal characteristic component layers	4
GRU units	10
Convolution kernel size	3
α	0.001
β1	0.9
β2	0.999
ε	1 × 10^−8