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Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparison...

Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparison...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a546551705794b4b891dfadb7e9d7f62

Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparisons with Multilayer-Perceptron-Only, BP Neural Network, and Information Value Models

About this item

Full title

Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparisons with Multilayer-Perceptron-Only, BP Neural Network, and Information Value Models

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2019-09, Vol.9 (18), p.3664

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Landslides are one type of serious geological hazard which cause immense losses of local life and property. Landslide susceptibility prediction (LSP) can be used to determine the spatial probability of landslide occurrence in a certain area. It is important to implement LSP for landslide hazard prevention and reduction. This study developed a parti...

Alternative Titles

Full title

Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparisons with Multilayer-Perceptron-Only, BP Neural Network, and Information Value Models

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a546551705794b4b891dfadb7e9d7f62

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a546551705794b4b891dfadb7e9d7f62

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app9183664

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