Application of neural network to assess landslide hazard and comparison with bivariate and multivariate statistical analyses

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F16%3A00000094" target="_blank" >RIV/00025798:_____/16:00000094 - isvavai.cz</a>

Result on the web

<a href="http://www.geopaleo.fns.uniba.sk/ageos/articles/abstract_en.php?path=tornyai_et_al&vol=8&iss=1" target="_blank" >http://www.geopaleo.fns.uniba.sk/ageos/articles/abstract_en.php?path=tornyai_et_al&vol=8&iss=1</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Application of neural network to assess landslide hazard and comparison with bivariate and multivariate statistical analyses

Original language description

Landslide hazard in the Žilina area in northern Slovakia is assessed using neural network analysis. Four input parameters are evaluated, they are presented as a result of statistical processing in the form of parametric maps. Statisti- cal evaluation was executed in ArcGIS environment; neural network was calculated in Matlab. The output of this study is a prognostic landslide hazard map. Further, the result was compared with the hazard map created using bivariate and multivariate statistical analyses through ROC curves. Area below curve (AUC) calculated from ROC curve shows accuracy of individual models. It can be stated that the NN´s AUC is equal to 0.924, what represents the rate of success 92.4%; bivariate multivariate analyses AUC is equal to 0.852 and 0.919.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

DB - Geology and mineralogy

OECD FORD branch

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Project

<a href="/en/project/7AMB14SK038" target="_blank" >7AMB14SK038: Forecasting landslide hazard in the Carpathian flysch and preparation unified methodology</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Acta Geologica Slovaca

ISSN

1338-0044

e-ISSN

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Volume of the periodical

8

Issue of the periodical within the volume

1

Country of publishing house

SK - SLOVAKIA

Number of pages

10

Pages from-to

109-118

UT code for WoS article

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EID of the result in the Scopus database

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