首页|Northeastern University Reports Findings in Machine Learning (Predicting Hot-rol led Strip Crown Using a Hybrid Machine Learning Model)
Northeastern University Reports Findings in Machine Learning (Predicting Hot-rol led Strip Crown Using a Hybrid Machine Learning Model)
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 – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Shenyang, People’s R epublic of China, by NewsRx journalists, research stated, “The stabilityof crow n is a crucial factor in ensuring the quality of hot-rolled strips. In this stud y, a hybrid model basedon ensemble learning is developed, incorporating four re liable ML models, namely support vector machine(SVM), gaussian process regressi on (GPR), artificial neural network (ANN), and random forest (RF).”
ShenyangPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningNortheastern University
NETL
NSTL
