首页|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 ...)

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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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.”

GuangzhouPeople's Republic of ChinaAsiaAlgorithmsChalcogensCyborgsEmerging TechnologiesGenetic AlgorithmsMachine LearningSupport Vector MachinesVector MachinesSouth China Univers ity of Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.26)