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