Machine learning and fractal theory models for landslide susceptibility mapping: Case study from the Jinsha River Basin-Reference-Cited by-同舟云学术

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Machine learning and fractal theory models for landslide susceptibility mapping: Case study from the Jinsha River Basin

Published:2020-02 Issue: Volume:351 Page:106975
ISSN:0169-555X
Container-title:Geomorphology
language:en
Short-container-title:Geomorphology

Author:

Hu Qiao,Zhou Yi,Wang Shixing,Wang Futao

Funder

National Key Research and Development Program of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference95 articles.

1. Transform-formed fractals and analyses and forecast of marine environment data;Fu;Mar. Sci. Bull.,2000

2. Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran);Aghdam;Environ. Earth Sci.,2016

3. Multifractals and geostatistics;Agterberg;J. Geochem. Explor.,2012

4. Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression;Bui;Nat. Hazards,2011

5. Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS;Bui;Comput. Geosci.,2012

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