摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布马学习新报告。根据新闻报道在泰国曼谷，NewsRx编辑的研究指出，“这项研究的重点是开发一个氧化焙烧废咖啡渣ds(SCG)热解过程质量损失的预测模型l使用机器学习技术。采用了四种算法:人工神经网络(ANN)、knearest邻居(k-NN)、随机林(RF)和决策树(DT)，RF模型演示培训集和测试集的卓越性能（r-2>0.9981，RMSE<1.346）。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingout of Bangkok, Thailand, by NewsRx editors, research stated, “This research focused on developing apredictive mode l for mass loss during the pyrolysis of oxidatively torrefied spent coffee groun ds (SCG)using machine learning techniques. Four algorithms were employed: artif icial neural networks (ANN), knearestneighbors (k-NN), random forest (RF), and decision tree (DT), with the RF model demonstratingsuperior performance (R-2 > 0.9981, RMSE <1.346) for both training and testing sets.”
NETL
NSTL