首页|Study Findings on Machine Learning Reported by a Researcher at University of Nig eria (Estimation of Proton Stopping Power Ratio and Mean Excitation Energy Using Electron Density and Its Applications via Machine Learning Approach)
Study Findings on Machine Learning Reported by a Researcher at University of Nig eria (Estimation of Proton Stopping Power Ratio and Mean Excitation Energy Using Electron Density and Its Applications via Machine Learning Approach)
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 - A new study on artificial intelligence is now available. According to news reportingoriginating from Enugu, Nigeria, by NewsRx correspondents, research stated, “The purpose of this studywas to dev elop a simple flexible method for accurate estimation of stopping power ratio (S PR) and mean excitation energy (I) using relative electron density (r e). The model was formulated using empiricalrelationships between SPR, mean exci tation energy I, and relative electron density.”
University of NigeriaEnuguNigeriaA fricaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
