Research Article
Artificial Intelligence Method for Shear Wave Travel Time Prediction considering Reservoir Geological Continuity
Table 3
Setting hyperparameters of proposed models.
| Algorithm | Hyperparameters |
| RF | n_estimators = 100 | max_depth = 1 | min_samples_leaf = 1 | min_samples_split = 2 | | SVR | kernel = “rbf” | gamma = scale | degreeint = 3 | C = 1.0 | coef0 = 0 | XGBoost | Obj: “reg:linear” | gamma:0 | eta:0.3 | max_depth:5 | subsample: 0.5 | ANN-1 | activation = “relu” | solver = “Adam” | hidden_layer_sizes = (100) | max_iter = 200 | | ANN-3 | activation = “relu” | solver = “Adam” | hidden_layer_sizes = (100) | max_iter = 200 | | ANN-5 | activation = “relu” | solver = “Adam” | hidden_layer_sizes = (100) | max_iter = 200 | |
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