Table 3.

Hyperparameters of the adopted Conv1D neural network model.

Model.	Optimizer: Adam	Loss: Mean Absolute Error
Training Hyper-Parameters	Batch Size: 152	Learning Rate: 0.008	Epochs: 5000
Layer		Shape	Param
Conv1D_1		256	1024
Batch_Normalization_1		256	768
Conv1D_2		128	65,664
Batch_Normalization_2		128	384
Max_Poolling		128	0
Flatten		384	0
Dense_1		128	49,280
Dense_2		9	1161
Total params		118,281
Trainable params		117,513
Non-trainable params		768