首页|Studies from University of Macau Reveal New Findings on Machine Learning (Machin e Learning Revealing Overlooked Conjunction of Working Volume and Mixing Intensi ty In Anammox Optimization)
Studies from University of Macau Reveal New Findings on Machine Learning (Machin e Learning Revealing Overlooked Conjunction of Working Volume and Mixing Intensi ty In Anammox Optimization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingout of Macau, People’s Republic of C hina, by NewsRx editors, research stated, “Extensive studies onimproving anammo x performance have taken place for decades with particular focuses on its operat ionaland environmental factors, but such parameter-based optimization is diffic ult, because of the sheer numberof possible combinations and multidimensional a rrays of these factors. Utilizing machine-learning algorithmand published anamm ox data, Bayesian nonparametric general regression (BNGR) was applied to identify the possible governing variable(s) from among 11 operating and environmental p arameters: reactortype, mixing type, working volume, hydraulic retention time, temperature, influent pH, nitrite, ammonium,nitrate concentration, nitrogen loa ding rate, and organic concentration.”
MacauPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of Macau
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