首页|Yildiz Technical University Reports Findings in Machine Learning[Effluent parameters prediction of a biological nutrient removal(BNR) process using different machine learning methods: A case study]
Yildiz Technical University Reports Findings in Machine Learning[Effluent parameters prediction of a biological nutrient removal(BNR) process using different machine learning methods: A case study]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject of a report. According to news reportingoriginating from Istanbul, Turkey, by NewsRx correspondents, research stated, “This paper proposes anovel targeted blend of machine learning (ML) based approaches for controlling wastewater treatmentplant (WWTP) operation by predicting distributions of key effluent parameters of a biological nutrientremoval (BNR) process. Two years of data were collected from Plajyolu wastewater treatment plantin Kocaeli, Turkiye and the effluent parameters were predicted using six machine learning algorithms tocompare their performances.”
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