首页|Researchers from University of Naples Federico II Report New Studies and Finding s in the Area of Machine Learning (Monitoring the Gas Metal Arc Additive Manufac turing Process Using Unsupervised Machine Learning)
Researchers from University of Naples Federico II Report New Studies and Finding s in the Area of Machine Learning (Monitoring the Gas Metal Arc Additive Manufac turing Process Using Unsupervised Machine Learning)
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 Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Naples, Italy, by Ne wsRx correspondents, research stated, “The study aimed to assess the performance of several unsupervised machine learning (ML) techniques in online anomaly (The term ‘anomaly’ is used here to indicate a departure from expected process behav ior which may indicate a quality issue which requires further investigation. The term ‘defect detection’ has often been used previously but the specific imperfe ction is often indirectly inferred.) detection during surface tension transfer ( STT)- based wire arc additive manufacturing.”
NaplesItalyEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Naples Federico II
NETL
NSTL
