Dynamic Simulation Model of Channel Leakage Based on Multiple Regression
Dynamic Simulation Model of Channel Leakage Based on Multiple Regression is a scholarly work, published in 2023 in ''Sustainability''. The main subjects of the publication include deficit irrigation, hydraulic engineering, Leakage, threshold limit value, simulation, channel, mean squared error, hydrological model, transmission loss, and computer science. The experimental results show that the use of machine learning to construct a dynamic simulation model of channel leakage loss under the comprehensive consideration of the dynamic change in influencing factors over time has a better effect, and the calculation accuracy is high..