首页|Tongji University Reports Findings in Machine Learning (Machine learning for enh ancing prediction of biogas production and building a VFA/ALK soft sensor in ful l-scale dry anaerobic digestion of kitchen food waste)
Tongji University Reports Findings in Machine Learning (Machine learning for enh ancing prediction of biogas production and building a VFA/ALK soft sensor in ful l-scale dry anaerobic digestion of kitchen food waste)
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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 newsoriginating from Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Basedon operational data collected over 1.5 years from four full-scale dry anaerobic digesters used for kitchenfood waste treatment, this study adopted eight typical machine lear ning algorithms to distinguish the bestbiogas prediction model and to develop a soft sensor based on the VFA/ALK ratio. Among all the eighttested models, the CatBoost (CB) algorithm demonstrated superior performance in terms of predictionaccuracy and model fitting.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine Learning