Table 3. Hyperparameters and layer configurations for the LSTM model.

Type of Layer	Tuning hyperparameter	Value
LSTM	—	—
LSTM	dropout	[0.00, 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, 0.40, 0.45, 0.50]
LSTM	—	—
LSTM	units	[70, 60, 50, 40]
Dense	- units	3
	-activation	softmax
Adam optimization compile	learning rate	min − value = 1e−10
		max − value = 1e−1
		sampling = LOG