Log in to save to my catalogue

Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution...

Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2209700786

Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors

About this item

Full title

Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors

Publisher

United States: Public Library of Science

Journal title

PloS one, 2019-04, Vol.14 (4), p.e0215134-e0215134

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

The fragile ecological environment near mines provide advantageous conditions for the development of landslides. Mine landslide susceptibility mapping is of great importance for mine geo-environment control and restoration planning. In this paper, a total of 493 landslides in Shangli County, China were collected through historical landslide invento...

Alternative Titles

Full title

Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2209700786

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2209700786

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0215134

How to access this item