Intelligent Prediction Model of the Triaxial Compressive Strength of Rock Subjected to Freeze-Thaw Cycles Based on a Genetic Algorithm and Artificial Neural Network

Table 4

GA parameter settings.

GA parameter	Values
Scenarios	Optimization of ANN structure	Optimization of initial weights and biases
Fitness function	1/RMSE	1/RMSE
Selection method	Tour	Tour
Genetic possibility	Crossover (0.8), mutation (0.1)	Crossover (0.8), mutation (0.1)
Stop criteria	Maximum generation	Maximum generation
Number of chromosomes	200	50/100/150/200
Type of chromosomes	Integer	Float
Number of generation	20	500