Robotics & Machine Learning Daily News2024,Issue(Jul.16) :70-71.

Ningbo University Reports Findings in Machine Learning (Predicting the governing factors for the release of colloidal phosphorus using machine learning)

Robotics & Machine Learning Daily News2024,Issue(Jul.16) :70-71.

Ningbo University Reports Findings in Machine Learning (Predicting the governing factors for the release of colloidal phosphorus using machine learning)

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Abstract

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.”

Key words

Ningbo/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Phosphorus

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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