Report Summarizes Machine Learning Study Findings from Tecnalia Research & Innovation (On the Use of Machine Learning for Predicting Femtosecond Laser Groo ves In Tribological Applications)
Report Summarizes Machine Learning Study Findings from Tecnalia Research & Innovation (On the Use of Machine Learning for Predicting Femtosecond Laser Groo ves In Tribological Applications)
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。据新闻报道来自西班牙Donostia San Sebastian，由NewsRx记者报道，研究称：“飞秒”激光表面毛化对优化摩擦学性能越来越有兴趣。然而，激光表面毛化参数的选择往往是通过耗时和低效的试验来进行的过程。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Donostia San Sebasti an, Spain, by NewsRx correspondents, research stated, “Femtosecondlaser surface texturing is gaining increased interest for optimizing tribological behaviour. However, the lasersurface texturing parameter selection is often conducted thro ugh time-consuming and inefficient trial-anderrorprocesses.”
Key words
Donostia San Sebastian/Spain/Europe/B usiness/Business/Cyborgs/Emerging Technologies/Machine Learning/Tecnalia Re search & Innovation
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