首页|Findings from Karlsruhe Institute of Technology (KIT) in the Area of Machine Lea rning Reported (A Machine Learning-based Simulation Metamodeling Method for Dyna mic Scheduling In Smart Manufacturing Systems)
Findings from Karlsruhe Institute of Technology (KIT) in the Area of Machine Lea rning Reported (A Machine Learning-based Simulation Metamodeling Method for Dyna mic Scheduling In Smart Manufacturing Systems)
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
2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting from Karlsruhe, Germany, by NewsRx journalists, research stated, "Conventional Digital Twins (DTs) in smart manufa cturing rely on complex and time-intensive simulation models, hindering real-tim e DTbased decision-making. However, the availability of big data in Manufacturi ng Execution Systems (MES) enables training different Machine Learning (ML) mode ls for fast and accurate predictions and decision assessments."
KarlsruheGermanyEuropeCyborgsEme rging TechnologiesMachine LearningMetamodelingKarlsruhe Institute of Techn ology (KIT)
NETL
NSTL
