首页|Researchers’ Work from Western Michigan University Focuses on Machine Learning ( Enhanced Classification of Refractory Coatings In Foundries: a Vpca-based Machine Learning Approach)
Researchers’ Work from Western Michigan University Focuses on Machine Learning ( Enhanced Classification of Refractory Coatings In Foundries: a Vpca-based Machine Learning Approach)
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 – Fresh data on Machine Learning are pre sented in a new report. According to news originating from Kalamazoo, Michigan, by NewsRx correspondents, research stated, “This paper introduces a thorough app roach for classifying refractory coatings used on chemically bonded sand accordi ng to their thickness, which is essential for monitoring mold and core coatings in foundries. The method combines feature extraction through vectorized principal component analysis (VPCA) with classification modeling using a machine learning algorithm.”
KalamazooMichiganUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningWestern Michigan University
NETL
NSTL
