Assessment of Landslide Susceptibility of the Wisnickie Foothills Mts. (The Flysch Carpathians, Poland) Using Selected Machine Learning Algorithms (vol 10, 872192, 2022)

被引：0

作者：

Zydron, Tymoteusz ^{[1
]}

Demczuk, Piotr ^{[2
]}

Gruchot, Andrzej ^{[1
]}

机构：

[1] Agr Univ Krakow, Dept Hydraul Engn & Geotech, Krakow, Poland

[2] Marie Curie Sklodowska Univ, Inst Earth & Environm Sci, Lublin, Poland

来源：

FRONTIERS IN EARTH SCIENCE | 2022年 / 10卷

关键词：

landslide susceptibility; flysch; The Polish Carpathians; machine learning; multi-layer perceptron; decision tree; logistic regression; ensemble methods;

D O I：

10.3389/feart.2022.941809

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

引用

页数：1

共 4 条

[1] Assessment of Landslide Susceptibility of the Wisnickie Foothills Mts. (The Flysch Carpathians, Poland) Using Selected Machine Learning Algorithms
Zydron, Tymoteusz
Demczuk, Piotr
Gruchot, Andrzej
FRONTIERS IN EARTH SCIENCE, 2022, 10
[2] Landslide susceptibility assessment using locally weighted learning integrated with machine learning algorithms
Hong, Haoyuan
EXPERT SYSTEMS WITH APPLICATIONS, 2024, 237
[3] A comparative study for landslide susceptibility assessment using machine learning algorithms based on grid unit and slope unit
Deng, Niandong
Li, Yuxin
Ma, Jianquan
Shahabi, Himan
Hashim, Mazlan
de Oliveira, Gabriel
Chaeikar, Saman Shojae
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
[4] Landslide Susceptibility Assessment in Active Tectonic Areas Using Machine Learning Algorithms
Qi, Tianjun
Meng, Xingmin
Zhao, Yan
REMOTE SENSING, 2024, 16 (15)

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