Table 2.

Optimal configuration values for the proposed DNN model.

Hyper-parameters	Optimal values
Activation function	ReLu, sigmoid
Learning rate	0.01
Number of hidden layer Neurons	128,64, 32
Optimizer	Adam
Regularization L1	0.001
Dense layers	3
Dropout rate	0.5