首页|Researchers from Nanjing University of Information Science and Technology (NUIST ) Report New Studies and Findings in the Area of Machine Learning (Uncertainty F orecasting System for Tropical Cyclone Tracks Based On Conformal Prediction)
Researchers from Nanjing University of Information Science and Technology (NUIST ) Report New Studies and Findings in the Area of Machine Learning (Uncertainty F orecasting System for Tropical Cyclone Tracks Based On Conformal Prediction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Nanjing, People’s Re public of China, by NewsRx editors, research stated, “Tropicalcyclone tracks ar e one of the most critical factors in tropical cyclone forecasting, but there is an inherentuncertainty in their forecasts, but there are no relevant machine l earning methods to carry out uncertaintystudies. This study proposes an uncerta inty forecasting system using machine learning models within aconformal forecas ting framework, aiming to provide reliable forecast regions to improve the abili ty ofdecision makers to prepare for and respond to potential hazards.”
NanjingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNanjing University of Infor mation Science and Technology (NUIST)
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