A New Artificial Intelligence-Based Model for Amyotrophic Lateral Sclerosis Prediction

Table 3

The utilized configurations of hyperparameters.

Name of the hyperparameters	Values
Learning rate (L)	0.01
Batch size	32
Dropout	0.05
Optimizer	Adam
Regression weight	0.001
Momentum	0.75
Activation functions	Leaky ReLU and Sigmoid
Number of iterations	6500
Number of epochs	45