首页|New Machine Learning Study Results Reported from Beijing Institute of Technology (Interpretable Machine Learning Framework to Predict the Glass Transition Tempe rature of Polymers)
New Machine Learning Study Results Reported from Beijing Institute of Technology (Interpretable Machine Learning Framework to Predict the Glass Transition Tempe rature of Polymers)
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 originatingfrom Beijing, People’s Repu blic of China, by NewsRx editors, the research stated, “The glass transitiontem perature of polymers is a key parameter in meeting the application requirements for energy absorption.Previous studies have provided some data from slow, expen sive trial-and-error procedures.”
Beijing Institute of TechnologyBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Lear ning
NETL
NSTL
