Study Findings from Swiss Federal Institute of Technology Provide New Insights i nto Machine Learning (Physics-supported Bayesian Machine Learning for Chatter Pr ediction With Process Damping In Milling)
Study Findings from Swiss Federal Institute of Technology Provide New Insights i nto Machine Learning (Physics-supported Bayesian Machine Learning for Chatter Pr ediction With Process Damping In Milling)
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 originating in Zurich , Switzerland, by NewsRx journalists, research stated, “Chatterstability of mil ling operations is a complicated phenomenon causing serious productivity issues in themanufacturing industry, yet a shop-floor implementable solution is lackin g. This paper follows a physicssupportedBayesian machine learning approach an d incorporates the potential effect of process dampingon the stability of the p rocess.”
Key words
Zurich/Switzerland/Europe/Cyborgs/Em erging Technologies/Machine Learning/Swiss Federal Institute of Technology
NETL
NSTL