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Table 2

Parameters of LSTM_ATT and LSTM

ModelQinhuaiTunxi
LSTM_ATT and LSTM Learning rate = 0.009 Learning rate = 0.001 
Number of input nodes = 54 Number of input nodes = 72 
Dropout = 0.3 Dropout = 0.3 
Number of hidden nodes = 64 Number of hidden nodes = 120 
Number of hidden layers = 4 Number of hidden layers = 6 
Number of output nodes = 1 Number of output nodes = 1 
Activation function and Optimizer: ReLu, Adam 
ModelQinhuaiTunxi
LSTM_ATT and LSTM Learning rate = 0.009 Learning rate = 0.001 
Number of input nodes = 54 Number of input nodes = 72 
Dropout = 0.3 Dropout = 0.3 
Number of hidden nodes = 64 Number of hidden nodes = 120 
Number of hidden layers = 4 Number of hidden layers = 6 
Number of output nodes = 1 Number of output nodes = 1 
Activation function and Optimizer: ReLu, Adam 
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