University of Science and Technology of China Reports Findings in Machine Learni ng (Machine Learning-Assisted Optimization of Mixed Carbon Source Compositions f or High-Performance Denitrification)

中国科技大学报告机器学习(机器学习辅助优化混合碳源组成或高效脱氮)的研究结果

Robotics & Machine Learning Daily News2024，Issue(Jun.27) ：58-58.

来源：

NETL
NSTL

University of Science and Technology of China Reports Findings in Machine Learni ng (Machine Learning-Assisted Optimization of Mixed Carbon Source Compositions f or High-Performance Denitrification)

中国科技大学报告机器学习(机器学习辅助优化混合碳源组成或高效脱氮)的研究结果

扫码查看

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。根据中国人民共和国合肥市的新闻报道，NewsRx编辑的研究表明，“合适的混合碳源对于提高城市污水处理厂(WWTPs)的脱氮效率和降低运行成本具有很大的潜力。然而，由于组成的多样性，传统的方法很难有效地选择最佳的混合碳源。”

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 out of Hefei, People’s Republ ic of China, by NewsRx editors, research stated, “Appropriate mixed carbon sourc es have great potential to enhance denitrification efficiency and reduce operati onal costs in municipal wastewater treatment plants (WWTPs). However, traditiona l methods struggle to efficiently select the optimal mixture due to the variety of compositions.”

Key words

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

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航