Table 3:
The list of LSTM network parameters.
Model parameters
LSTM
Maximum iterations
6.40
+ 04
Weights initialization
Truncated BPTT length
120
Batch training samples
30
Initial learning rate
2.00
− 03
Dropout probability
0.5
Gradient regularization factor
10
Activation function
Tanh
Optimization algorithm
Adam
Propagation direction of time series
One-way
Hidden layers
2
Hidden nodes
185