Study Findings on Machine Learning Reported by a Researcher at Ningbo University (Combining SWAT with Machine Learning to Identify Primary Controlling Factors a nd Their Impacts on Non- Point Source Pollution)

宁波大学一位研究员报告的机器学习研究结果(结合SWAT和机器学习识别主要控制因素及其对非点源污染的影响)

Robotics & Machine Learning Daily News2024，Issue(Nov.13) ：16-16.

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Study Findings on Machine Learning Reported by a Researcher at Ningbo University (Combining SWAT with Machine Learning to Identify Primary Controlling Factors a nd Their Impacts on Non- Point Source Pollution)

宁波大学一位研究员报告的机器学习研究结果(结合SWAT和机器学习识别主要控制因素及其对非点源污染的影响)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于人工智能的新报告。根据新闻报道源于中华人民共和国宁波，由NewsRx记者报道，研究称：“非点”因此，urce(NPS)污染形成机理复杂，并确定了其主要控制因素对有效的污染治理至关重要。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Ningbo, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Nonpointso urce (NPS) pollution has a complex formation mechanism, and identifying its prim ary controllingfactors is crucial for effective pollution treatment.”

Key words

Ningbo University/Ningbo/People’s Repu blic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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