Researchers from South China University of Technology Report Findings in Machine Learning (Prediction of the Effluent Chemical Oxygen Demand and Volatile Fatty Acids for Anaerobic Treatment Based On Different Feature Selections Machine-lear ning ...)

Robotics & Machine Learning Daily News2024，Issue(Mar.26) ：39-40.

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Researchers from South China University of Technology Report Findings in Machine Learning (Prediction of the Effluent Chemical Oxygen Demand and Volatile Fatty Acids for Anaerobic Treatment Based On Different Feature Selections Machine-lear ning ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on Machine Learn ing. According to news reporting originating from Guangzhou, People's Republic o f China, by NewsRx correspondents, research stated, “The effluent chemical oxyge n demand (COD) and volatile fatty acids (VFA) are important indicators for measu ring wastewater anaerobic treatment systems. Through lab and pilot experiments o n the anaerobic treatment process of high-salt wastewater, combined with different prediction requirements, the feature variables are classified.”

Key words

Guangzhou/People's Republic of China/Asia/Algorithms/Chalcogens/Cyborgs/Emerging Technologies/Genetic Algorithms/Machine Learning/Support Vector Machines/Vector Machines/South China Univers ity of Technology

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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