Multilayer perceptron–random forest based hybrid machine learning–neural network model for GaN high electron mobility transistor's parameter estimations

Strategy to enhance the semicontinuous anaerobic digestion of food waste via exogenous additives: experimental and machine learning approaches

“…14 The best combination of RF and ANN was obtained by RandomSearchCV. 42 The RF hyperparameter combination is n_estimators = 314, max_depth = 12, and the ANN hyperparameter combination is hidden_layer_sizes = (100 100), solver = "lbfgs", and activation = 'relu'.…”