首页|National Chung Hsing University Researcher Yields New Study Findings on Machine Learning (Integrating machine learning and feature analysis for predicting and m anaging thermal deformation in machine tools)
National Chung Hsing University Researcher Yields New Study Findings on Machine Learning (Integrating machine learning and feature analysis for predicting and m anaging thermal deformation in machine tools)
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 artificial intelligence are presented in a new report. According to news reporting from Taichung, Taiwan , by NewsRx journalists, research stated, “This study develops a method to predi ct and compensate for thermal deformation in machine tools, focusing on selectin g temperaturesensitive points, establishing a predictive model, and detecting t emperature anomalies.” The news reporters obtained a quote from the research from National Chung Hsing University: “Optimal sensing points were identified using feature ranking algori thms and Partial Dependence Plots, improving Z-axis deformation identification. The research also evaluated various machine learning models for Z-axis deformati on prediction, notably optimizing Gaussian Process Regression for superior accur acy. Additionally, anomaly detection in temperature sensors was addressed using One-Dimensional Convolutional Neural Networks and Long Short-Term Memory Network s, enhancing system reliability and robustness.”
National Chung Hsing UniversityTaichun gTaiwanAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
