首页|New Machine Learning Findings from University of Science and Technology Beijing Described (Enhancing Pyrolysis Process Monitoring and Prediction for Biomass: a Machine Learning Approach)
New Machine Learning Findings from University of Science and Technology Beijing Described (Enhancing Pyrolysis Process Monitoring and Prediction for Biomass: a Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news originatingfrom Beijing, People’s Republic of Chin a, by NewsRx correspondents, research stated, “Biomass pyrolysispresents a viab le solution to address the increasing global energy demand, and substantial effo rts havebeen devoted worldwide to monitoring the conversion process through the rmogravimetric experiments. Inthis study, the machine learning (ML) algorithm w as employed to simulate and predict the temperaturecorresponding to specific co nversion degrees (T alpha) by utilizing the compositional properties of thefeed stock and heating rate as input variables.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningUniversity of Science and T echnology Beijing
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