首页|Researchers at Ministry of Natural Resources Have Reported New Data on Machine L earning (Prediction of Calcium Concentration In Circulating Seawater In a Closed -cycle Seawater Cooling System Using Machine Learning Models)
Researchers at Ministry of Natural Resources Have Reported New Data on Machine L earning (Prediction of Calcium Concentration In Circulating Seawater In a Closed -cycle Seawater Cooling System Using Machine Learning Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Tianjin, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“The objecti ve of this investigation is to establish and evaluate the efficacy of two machin e learning models,namely random forests (RFs) and support vector machines, in f orecasting the calcium concentration withinthe circulating seawater of a closed -cycle seawater cooling system, thereby replacing conventional and timeconsuming laboratory testing. These models were constructed based on daily seawater qual ity data, andtheir predictive capabilities were evaluated utilizing metrics suc h as the coefficient of determination (R-2)and root mean square error.”
TianjinPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningMinistry of Natural Resources
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