Robotics & Machine Learning Daily News2024,Issue(Jul.1) :111-112.

Huazhong University of Science and Technology Reports Findings in Machine Learni ng (Wastewater treatment process enhancement based on multi-objective optimizati on and interpretable machine learning)

华中科技大学发表机器学习(基于多目标优化和可解释性机器学习的污水处理过程增强)研究成果

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :111-112.

Huazhong University of Science and Technology Reports Findings in Machine Learni ng (Wastewater treatment process enhancement based on multi-objective optimizati on and interpretable machine learning)

华中科技大学发表机器学习(基于多目标优化和可解释性机器学习的污水处理过程增强)研究成果

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者对湖北省的新闻报道,研究表明:“污水处理工艺(WTP)的优化与控制有助于降低成本和提高效率,本文提出了污水处理工艺多目标优化(WTPMO)框架,为污水处理工艺参数设置提供决策依据。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Hubei, People’ s Republic of China, by NewsRx journalists, research stated, “Optimization and c ontrol of wastewater treatment process (WTP) can contribute to cost reduction an d efficiency. A wastewater treatment process multi-objective optimization (WTPMO ) framework is proposed in this paper to provide suggestions for decision-making in setting parameters of WTP.”

Key words

Hubei/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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