首页|Research Data from University of Technology Update Understanding of Support Vect or Machines (Improving Drought Prediction@@Accuracy: a Hybrid Eemd and Support Ve ctor Machine Approach@@With Standardized Precipitation Index)
Research Data from University of Technology Update Understanding of Support Vect or Machines (Improving Drought Prediction@@Accuracy: a Hybrid Eemd and Support Ve ctor Machine Approach@@With Standardized Precipitation Index)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Su pport Vector Machines. According to news reporting originating from Johor Baharu , Malaysia, by NewsRx correspondents, research stated, “This workcombines the S upport Vector Machine (SVM) model with Ensemble Empirical Mode Decomposition (EEMD) to present a novel method for drought prediction. The EEMD-SVM model is asse ssed for droughtforecasting, comparing it to conventional Auto Regressive Integ rated Moving Average (ARIMA) and SVMmodels.”
Johor BaharuMalaysiaAsiaEmerging T echnologiesMachine LearningSupport Vector MachinesVector MachinesUnivers ity of Technology
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