首页|Study Findings on Machine Learning Discussed by Researchers at Southwest Jiaoton g University (Co-seismic landslide susceptibility mapping for the Luding earthqu ake area based on heterogeneous ensemble machine learning models)
Study Findings on Machine Learning Discussed by Researchers at Southwest Jiaoton g University (Co-seismic landslide susceptibility mapping for the Luding earthqu ake area based on heterogeneous ensemble machine learning models)
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 – Data detailed on artificial intelligence have bee n presented. According to news reporting originatingfrom Chengdu, People’s Repu blic of China, by NewsRx correspondents, research stated, “Consideringthe compl exity of landslide susceptibility mapping (LSM) at the municipal-scale, it is di fficult for theassumption space of a single machine learning (ML) algorithm to fully and accurately reflect the intrinsiccorrelation between the landslide inf luencing factors and the actual catastrophic events under all scenarios.”
Southwest Jiaotong UniversityChengduPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMa chine Learning
NETL
NSTL
