首页|Studies from Beijing Forestry University Add New Findings in the Area of Machine Learning (Enhancing Predictions of Acetate and Ethanol Production From Microbia l Electrosynthesis Using Optimized Machine Learning Models)
Studies from Beijing Forestry University Add New Findings in the Area of Machine Learning (Enhancing Predictions of Acetate and Ethanol Production From Microbia l Electrosynthesis Using Optimized Machine Learning Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Beijing, People’s Republic of China , by NewsRx journalists, research stated, “Microbial electrosynthesis (MES) offe rs a promising pathway for CO2-based sustainable chemical production. However, t he accurate prediction of product yields, notably acetate and ethanol concentrat ions, has been challenging.” Funders for this research include National Key Research and Development Program of China, National Key R&D Program of China, National Natural Scien ce Foundation of China (NSFC), Beijing Municipal Education Commission through th e Innovative Transdisciplinary Program “Ecological Restoration Engineering”, Bei jing High-Precision Discipline Project.
BeijingPeople’s Republic of ChinaAsi aAlcoholsCyborgsEmerging TechnologiesEthanolEthanolaminesMachine Lea rningBeijing Forestry University
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