Research Article
Artificial Intelligence Method for Shear Wave Travel Time Prediction considering Reservoir Geological Continuity
Table 4
Optimal solutions of hyperparameters.
| Algorithm | Hyperparameters |
| RF | n_estimators = 197 | max_depth = 6 | min_samples_leaf = 1 | min_samples_split = 2 | | SVR | kernel = “rbf” | gamma = 1 | degreeint = 3 | C = 1.0 | coef0 = 0 | XGBoost | Obj: “reg:linear” | gamma:0 | eta:0.3 | max_depth:6 | subsample:1 | ANN-1 | activation = “relu” | solver = “lbfgs” | hidden_layer_sizes = (8, 8) | max_iter = 4000 | | ANN-3 | activation = “relu” | solver = “lbfgs” | hidden_layer_sizes = (14, 14) | max_iter = 4000 | | ANN-5 | activation = “relu” | solver = “lbfgs” | hidden_layer_sizes = (20, 20) | max_iter = 4000 | |
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