首页|Researchers from Xiangtan University Report Findings in Machine Learning (A Gene ric Machine Learning Model for Co2 Equilibrium Solubility Into Blended Amine Sol utions)
Researchers from Xiangtan University Report Findings in Machine Learning (A Gene ric Machine Learning Model for Co2 Equilibrium Solubility Into Blended Amine Sol utions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to newsreporting out of Hunan, People’ s Republic of China, by NewsRx editors, research stated, “In this work,three ma chine learning methods were employed to predict carbon dioxide (CO2) equilibrium solubilityin blended amine solutions consisting of ethanolamine (MEA), N,N-die thylethanolamine (DEEA) andmethyldiethanolamine (MDEA). Three machine learning algorithms, Radial Basis Function Neural Network(RBFNN), Support Vector Machine Regression (SVR) and Extreme Gradient Boosting (XGBoost), wereused to fit the experimental results.”
HunanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXiangtan University
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