首页|Changchun University of Chinese Medicine Reports Findings in Machine Learning (A nalysis of sediment re-formation factors after ginseng beverage clarification ba sed on XGBoost machine learning algorithm)
Changchun University of Chinese Medicine Reports Findings in Machine Learning (A nalysis of sediment re-formation factors after ginseng beverage clarification ba sed on XGBoost machine learning algorithm)
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2024 OCT 08 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Machine Learning is the subject o f a report. According to news reporting originating in Changchun, People's Repub lic of China, by NewsRx journalists, research stated, "The aim of this study was to explore the sediment re-formation factors of ginseng beverages subjected to four clarification ways (11 subgroups) including the ethanol precipitation, enzy matic treatment, clarifier clarification, and Hollow Fiber Column (HFC) methods, based on the Extreme Gradient Boosting (XGBoost) model. The results showed that the clarity of the ginseng beverages was significantly improved by all the clar ification treatments, but still formed sediment after storage." The news reporters obtained a quote from the research from the Changchun Univers ity of Chinese Medicine, "HFC method exhibited the highest transmittance, the le ast sediment, and stronger antioxidant activity in the clarification treatment g roups. According to the results of chemical composition analyses and partition c oefficients, carbohydrates, saponins, proteins and metal elements were involved in varying degrees in the re-formation of the sediments in ginseng beverage afte r clarification."
ChangchunPeople's Republic of ChinaAsiaAlgorithmsBeverageCyborgsEmerging TechnologiesFoodMachine Learnin g
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