首页|Study Results from Beijing Normal University Update Understanding of Machine Lea rning (New Paradigm for Watershed Model Development By Coupling Machine Learning Algorithm and Mechanistic Model)
Study Results from Beijing Normal University Update Understanding of Machine Lea rning (New Paradigm for Watershed Model Development By Coupling Machine Learning Algorithm and Mechanistic Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting from Beijing, People’s Republic of Chi na, by NewsRx journalists, research stated, “The development of watershed models faces double pressure of data requirements and physical interpretation. The sim ulation of nonpoint source (NPS) pollution is an important application of waters hed model, and the best management practices (BMPs) have attracted wide attentio n as the main control approach of NPS pollution.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), National Natural Sci ence Foundation of China (NSFC), Fundamental Research Funds for the Central Univ ersities.
BeijingPeople’s Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningBeijing Normal University
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