Automated Extraction of Human Functional Brain Network Properties Associated with Working Memory Load through a Machine Learning-Based Feature Selection Algorithm

Table 1

Parameters of GA.

GA parameter	Value
Population size	100
Gene length	116
Number of generations	100
Crossover method	Two-point crossover
Crossover rate	0.7
Mutation rate	0.5
Selection method	Tournament selection (tournament size: 4)