首页|Harbin University Reports Findings in Machine Learning (Application-oriented Modeling of Soft Actuator Ionic Polymermetal Composites: a Review)
Harbin University Reports Findings in Machine Learning (Application-oriented Modeling of Soft Actuator Ionic Polymermetal Composites: a Review)
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 – Research findings on Machine Learning are discussed in a new report. According tonews reporting from Heilongjiang, People’s Republic of China, by NewsRx journalists, research stated,“Compared to conventional actuators, the soft ionic polymer-metal composite (IPMC) actuator has significantadvantages in specific applications, and the mathematical model of IPMC actuators is essential tocomprehending and applying IPMCs. Due to the inherent characteristics of IPMCs and the impact of themanufacturing and measurement processes, it is challenging to developa reliable model.”
HeilongjiangPeople’s Republic of ChinaAsiaMachine LearningHarbin University