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. 2020 Nov 28;142:110511. doi: 10.1016/j.chaos.2020.110511

Table 3.

The range of hyperparameters used in the Bayesian optimization process.

Model Hyperparameter range
ATT_BO Activation function: (ReLU, Linear)
LSTM_BO Activation function: (ReLU, Linear, Tanh)
Dropout rate: (0.0,0.1,0.2,0.3,0.4,0.50)
Number of neurons: (32,64,128,256)
CNN_BO Size of kernel: (2,3,4,5,6)
Stride: (1,2)
Number of neurons: (32,64,128,256)