首页|Reports Summarize Support Vector Machines Findings from Jadavpur University (Mat hematical Morphology-based Sensing of Power System Disturbances Using Pca-aided Support Vector Machine)
Reports Summarize Support Vector Machines Findings from Jadavpur University (Mat hematical Morphology-based Sensing of Power System Disturbances Using Pca-aided Support Vector Machine)
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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 reportingfrom Kolkata, India, by NewsRx jo urnalists, research stated, “This article introduces a methodologyof mathematic al morphology (MM)-based power system disturbances (PSDs) sensing using principa lcomponent analysis (PCA)-aided support vector machine (SVM). The PSD data is a cquired from areal-time laboratory-based isolated distributed generator (DG) ha ving a grid synchronization arrangementwhere a large number of system disturban ces have been created to develop and validate the model.”
KolkataIndiaAsiaEmerging Technolog iesMachine LearningMathematicsSupport Vector MachinesVector MachinesJa davpur University
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