首页|Studies from Department of Civil Engineering Yield New Data on Support Vector Ma chines (Predicting Temporal Clear Water Scour Depth Around Bridge Piers With Xgb oost and Svm-pso Approaches)
Studies from Department of Civil Engineering Yield New Data on Support Vector Ma chines (Predicting Temporal Clear Water Scour Depth Around Bridge Piers With Xgb oost and Svm-pso Approaches)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning - Sup port Vector Machines is the subject of areport. According to news originating f rom Patna, India, by NewsRx correspondents, research stated,“The phenomenon of scouring around a bridge pier involves the removal of sediment from the riverbed andbanks due to water flow, particularly accelerated flow caused by obstructio n from the bridge pier. Thispaper employs eXtreme Gradient Boosting (XGBoost) a nd support vector machine (SVM)-particle swarmoptimization (PSO) machine learni ng (ML) approaches to model the temporal local scour depth aroundbridge piers u nder clear water scouring (CWS) conditions.”
PatnaIndiaAsiaMachine LearningSu pport Vector MachinesDepartment of Civil Engineering
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