Prediction of anaerobic digestion performance and identification of critical operational parameters using machine learning algorithms.

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第一作者： Luguang,Wang

第一单位： Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97333, USA.

作者： Luguang,Wang ^[1] ; Fei,Long ^[1] ; Wei,Liao ^[2] ; Hong,Liu ^[3]

作者单位： Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97333, USA. ^[1] Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA. ^[2] Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97333, USA. Electronic address: liuh@engr.orst.edu. ^[3]

关键词 Anaerobic digestion Machine learning Methane production Operational parameters Prediction

主题词算法(Algorithms);厌氧生活(Anaerobiosis);聚类分析(Cluster Analysis);Logistic模型(Logistic Models)

DOI 10.1016/j.biortech.2019.122495

PMID 31830658

发布时间 2020-01-07

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