【作者单位】[a]School of Mechanical Engineering/School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin 300134, ChinaSchool of Mechanical Engineering/School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin 300134, China[b]School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, ChinaSchool of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China[c]Tianjin Key Lab of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin 300072, ChinaTianjin Key Lab of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin 300072, China[d]School of Science, Tibet University, Lhasa 850012, ChinaSchool of Science, Tibet University, Lhasa 850012, China[e]Tianjin Key Laboratory of Food Science and Biotechnology, College of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, 300134, ChinaTianjin Key Laboratory of Food Science and Biotechnology, College of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, 300134, China[f]Department of Biofertilizers and Plant Nutrition, Instituto Nacional de Ciencias Agrícolas (INCA), Gaveta Postal n° 1, 32700, San José de Las Lajas, Mayabeque, CubaDepartment of Biofertilizers and Plant Nutrition, Instituto Nacional de Ciencias Agrícolas (INCA), Gaveta Postal n° 1, 32700, San José de Las Lajas, Mayabeque, Cuba
【年份】2023
【卷号】Vol.454 Part 3
【ISSN】1385-8947
【摘要】 This work proposed a so-called M−ADM1 model for anaerobic digestion simulation, which uses machine learning model to predict the kinetic parameters in anaerobic digestion model No.1 . A total of 75 biomass samples were used to establish the machine l...
