首页|Tongji University Reports Findings in Machine Learning (An OpenSees Surrogate Co nstitutive Model for High-Damping Rubber Based on Machine Learning)
Tongji University Reports Findings in Machine Learning (An OpenSees Surrogate Co nstitutive Model for High-Damping Rubber Based on 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 - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Shanghai, Peop le’s Republic of China, by NewsRx journalists, research stated,“The complex mec hanical properties of high-damping rubber (HDR), a commonly used seismic isolati onmaterial in buildings and bridges, present a significant challenge in civil e ngineering. In a previous study,the authors proposed an HDR constitutive model that combines a Gated Recurrent Unit (GRU) and anattention mechanism, offering novel insights into the mechanical properties of HDR.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesEngineeringMachine Learning