首页|Department of Civil Engineering Reports Findings in Support Vector Machines (Suspended sediment load prediction using sparrow search algorithm-based support vector machine model)
Department of Civil Engineering Reports Findings in Support Vector Machines (Suspended sediment load prediction using sparrow search algorithm-based support vector machine model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Support Vector Machines is the su bject of a report. According to news originatingfrom Odisha, India, by NewsRx c orrespondents, research stated, “Prediction of suspended sediment load(SSL) in streams is significant in hydrological modeling and water resources engineering. Development of aconsistent and accurate sediment prediction model is highly ne cessary due to its difficulty and complexityin practice because sediment transp ortation is vastly non-linear and is governed by several variables likerainfall , strength of flow, and sediment supply.”
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