Prediction of the conjugate depth of the hydraulic jump in the trapezoidal channel using Random Forest regression

The paper proposes a novel method that applies Buckingham's Pi theory and the Random Forest regression to improve the prediction accuracy of the sequent depths of the hydraulic jump in the trapezoidal channel. The study has shown that Machine Learning models can be efficient for the determination of the geometrical features of the jump and have high ability in many real projects.
Nội dung trích xuất từ tài liệu:
Prediction of the conjugate depth of the hydraulic jump in the trapezoidal channel using Random Forest regression