首页|Study Results from Xijing University Broaden Understanding of Machine Learning ( Local elasticity assessment of unidirectional fiberreinforced polymer composite s through impulse excitation and machine learning)
Study Results from Xijing University Broaden Understanding of Machine Learning ( Local elasticity assessment of unidirectional fiberreinforced polymer composite s through impulse excitation and 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 DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Xijing Unive rsity by NewsRx correspondents, research stated, “This study presents anovel me thodology that integrates the Impulse Excitation Technique (IET) and machine lea rning (ML)to predict local elastic properties within isolated regions of unidir ectional polymeric composite plates.”Funders for this research include Xi’an Science And Technology Plan - Talent Ser vice Enterprise Projectof Universities And Research Institutes.
NETL
NSTL
