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Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with...

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e0b7b3e06f464e99abcd6906aae936aa

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

About this item

Full title

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2019-09, Vol.9 (18), p.3755

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The most dangerous landslide disasters always cause serious economic losses and human deaths. The contribution of this work is to present an integrated landslide modelling framework, in which an adaptive neuro-fuzzy inference system (ANFIS) is combined with the two optimization algorithms of whale optimization algorithm (WOA) and grey wolf optimize...

Alternative Titles

Full title

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e0b7b3e06f464e99abcd6906aae936aa

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e0b7b3e06f464e99abcd6906aae936aa

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app9183755

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