首页|Recent Findings from Zhengzhou University of Aeronautics Provides New Insights I nto Machine Learning (Design of Chromiumvanadium Steel Based On Design Loop Com bining Propertyoriented Design Criteria and Machine Learning Prediction Model)
Recent Findings from Zhengzhou University of Aeronautics Provides New Insights I nto Machine Learning (Design of Chromiumvanadium Steel Based On Design Loop Com bining Propertyoriented Design Criteria and Machine Learning Prediction Model)
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 Ma chine Learning. According to news reportingfrom Zhengzhou, People’s Republic of China, by NewsRx journalists, research stated, “Due to the lack ofdesign guida nce for high-performance Cr-V steel, it is challenging to identify the target st eel within a vast design space. In this paper, a design loop combining property- oriented design criteria and machinelearning prediction model is proposed.”
ZhengzhouPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningZhengzhou University of A eronautics
NETL
NSTL
