首页|Researchers from Duy Tan University Describe Findings in Machine Learning (Analy sis of 27 Supervised Machine Learning Models for the Co-gasification Assessment of Peanut Shell and Spent Tea Residue In an Open-core Downdraft Gasifier)
Researchers from Duy Tan University Describe Findings in Machine Learning (Analy sis of 27 Supervised Machine Learning Models for the Co-gasification Assessment of Peanut Shell and Spent Tea Residue In an Open-core Downdraft Gasifier)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Machine Learning is th e subject of a report. According to newsreporting from Da Nang, Vietnam, by New sRx journalists, research stated, "The producer gas (PG)obtained through thermo chemical processing of the various renewable biomass types contributes to Sustainable Development Goal-7 (SDG-7). Hence, this study examined 27 supervised and m ultipleinput singleoutputML models in terms of performance metrics and accurac y to predict CO, H2, CH4, and CO2compositions, as well as PG's HHV in the co-ga sification of peanut shell (PS) and spent tea residue(STR)."The news correspondents obtained a quote from the research from Duy Tan Universi ty, "Multiple trialexperiments were tested with various equivalence ratios (ERs ) and mixing ratios (MRs) on a 90 m3/h gas-yield open-core, down-draft gasifier with air as the gasification medium. About 18 models werechosen after evaluati ng their performance metrics in estimating relevant parameters. The accuracy ofthose models is assessed based on 12 sample runs with varying ER and MR. The fin dings revealed that16 models from the linear, neural network, support vector ma chine, Gaussian process, tree, and ensemblecategories were reliable ML models. The chosen 16 models' R-2 values for CO, H-2, CH4, CO2, andHHVPG are above 0.93 1, 0.937, 0.962, 0.806, and 0.971, respectively, with the exception of TRE."
Da NangVietnamAsiaCyborgsEmergin g TechnologiesMachine LearningDuy Tan University