首页|Ningbo University Reports Findings in Machine Learning (Predicting the governing factors for the release of colloidal phosphorus using machine learning)
Ningbo University Reports Findings in Machine Learning (Predicting the governing factors for the release of colloidal phosphorus using machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Ningbo, People ’s Republic of China, by NewsRx journalists, research stated,“Predicting the pa rameters that influence colloidal phosphorus (CP) release from soils under diffe rentland uses is critical for managing the impact on water quality. Traditional modeling approaches, suchas linear regression, may fail to represent the intri cate relationships that exist between soil qualities andenvironmental influence s.”
NingboPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningPhosphorus
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