首页|Data on Machine Learning Reported by Researchers at Sheffield Hallam University (Application of Simulation and Machine Learning In Supply Chain Management: a Sy nthesis of the Literature Using the Sim-ml Literature Classification Framework)
Data on Machine Learning Reported by Researchers at Sheffield Hallam University (Application of Simulation and Machine Learning In Supply Chain Management: a Sy nthesis of the Literature Using the Sim-ml Literature Classification Framework)
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 – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting out of Sheffield, Uni ted Kingdom, by NewsRx editors, research stated, “Stochasticmodeling techniques , such as discrete-event and agent-based simulation, are widely used in supply c hainmanagement (SCM) for capturing real-world uncertainties. Over the last deca de, data-driven approacheslike machine learning (ML) have also gained prominenc e in SCM, employing methods such as supervisedlearning (SL), unsupervised learn ing (UL), and reinforcement learning (RL).”
NETL
NSTL
