首页|Researchers at Jilin University Release New Data on Machine Learning (The Combin ed Machine Learning Model Smoter-ga-rf for Methane Yield Prediction During Anaer obic Digestion of Straw Lignocellulose Based On Random Forest Regression)
Researchers at Jilin University Release New Data on Machine Learning (The Combin ed Machine Learning Model Smoter-ga-rf for Methane Yield Prediction During Anaer obic Digestion of Straw Lignocellulose Based On Random Forest Regression)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting originating from Changchun, People’s Republic of China, by NewsRx correspondents, research stated, “Simulating anaerobic digestion (AD) using a machine learning (ML) is important for guiding methane production in practice. But the performance of the ML is affected by operational conditions and microbial types and quantities, which lead to low ac curacy of the traditional model.”
ChangchunPeople’s Republic of ChinaAsiaAlkanesCyborgsEmerging TechnologiesMachine LearningMethaneJilin University
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