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Geofluids
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2021
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Article
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Tab 4
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Research Article
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