首页|Shanghai University of Engineering Science Reports Findings in Machine Learning (An ensemble framework-based approach for modeling stability of expansive soil s lopes: fusion of machine learning algorithms and protection structure disease da ta)
Shanghai University of Engineering Science Reports Findings in Machine Learning (An ensemble framework-based approach for modeling stability of expansive soil s lopes: fusion of machine learning algorithms and protection structure disease da ta)
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 Daily News – New research on Machine Learning is the subject o f a report. According to news reporting out of Shanghai, People’s Republic of Ch ina, by NewsRx editors, research stated, “Slope failures lead to catastrophic co nsequences in numerous countries, so accurate slope stability evaluation is crit ical in geological disaster prevention and control. In this study, the type and characteristics of slope protection structure disease were determined through th e field investigation of an expansive soil area, and this information is incorpo rated into the numerical simulations and works to develop prediction models of s lope stability.”
ShanghaiPeople’s Republic of ChinaAs iaAlgorithmsCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
