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Research on the Impact of Random Negative Training Samples on the Spatial Quantitative Model of Landslide Hazards
Author(s) -
Li Zhang,
Xueqi Zhang,
Ke Pan,
Zhongli Zhou,
Xiaokun Lin
Publication year - 2022
Publication title -
scientific programming
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.269
H-Index - 36
eISSN - 1875-919X
pISSN - 1058-9244
DOI - 10.1155/2022/5815720
Subject(s) - landslide , standard deviation , statistics , stability (learning theory) , reliability (semiconductor) , hazard , sample (material) , sampling (signal processing) , computer science , artificial intelligence , data mining , mathematics , machine learning , geology , computer vision , power (physics) , physics , chemistry , geotechnical engineering , organic chemistry , filter (signal processing) , chromatography , quantum mechanics

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