Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting originating in Wuhan, People's Repub lic of China, by NewsRx journalists, research stated, "Simulation of watershed s treamflow is essential for the prevention and control of flood and drought disas ters. To improve streamflow simulation, a coupled SWAT-LSTM model was constructe d by combining a conceptual processbased hydrological model-Soil and Water Asse ssment Tool (SWAT)-with a machine learning model-Long Short-Term Memory (LSTM)." Financial supporters for this research include National Key R&D Pro gram of China, Hubei Provincial Key Laboratory of Construction and Management in Hydropower Engineering, Three Gorges University, China, Science and Technology Plan Projects of Tibet Autonomous Region.
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