Table 1.

The summary of LSTM hyper-parameters investigated in this study, the recommended configurations, and the impact level of each parameter.

Hyper-parameter	Range	Recommended configuration	Impact
Number of layers	{1, 2, 3, 5, 10}	3	High
Number of hidden units per layer	{3, 5, 10, 15, 20, 30, 40}	15	Low
Learning rate	{0.0001, 0.001, 0.005,0.01,0.1}	0.001	Intermediate
Number of epochs	{10, 20, 30, 50, 100, 500}	30	Low
Length of time lags	{1, 5, 15, 20, 50, 100}	20	Low
Optimizer	{SGD,RMSprop,Adagrad,Adadelta,Adam,Adamax,Nadam}	Adam	Intermediate