| Naslov: | Landslide assessment of the Strača basin (Croatia) using machine learning algorithms |
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| Avtorji: | ID Marjanović, Miloš (Avtor)
ID Kovačević, Miloš (Avtor)
ID Bajat, Branislav (Avtor)
ID Mihalić Arbanas, Snježana (Avtor)
ID Abolmasov, Biljana (Avtor)
ID Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo Univerze v Mariboru (Lastnik avtorskih pravic) |
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| Datoteke: |  Acta_geotechnica_Slovenica_2011_Marjanovic_et_al._Landslide_assessment_of_the_Straca_basin_(Croatia)_using_machine_learning_algorithms.pdf (382,76 KB)
MD5: 703813029563B01BA05C03EEFCA4E844
PID: 20.500.12556/dkum/b748b94c-e4a1-4a8b-814c-bf16257bd5d1
 http://fgserver3.fg.um.si/journal-ags/2011-2/article-3.asp
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Znanstveno delo |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: | FGPA - Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo
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| Opis: | In this research, machine learning algorithms were compared in a landslide-susceptibility assessment. Given the input set of GIS layers for the Starča Basin, which included geological, hydrogeological, morphometric, and environmental data, a classification task was performed to classify the grid cells to: (i) landslide and non-landslide cases, (ii) different landslide types (dormant and abandoned, stabilized and suspended, reactivated). After finding the optimal parameters, C4.5 decision trees and Support Vector Machines were compared using kappa statistics. The obtained results showed that classifiers were able to distinguish between the different landslide types better than between the landslide and non-landslide instances. In addition, the Support Vector Machines classifier performed slightly better than the C4.5 in all the experiments. Promising results were achieved when classifying the grid cells into different landslide types using 20% of all the available landslide data for the model creation, reaching kappa values of about 0.65 for both algorithms. |
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| Ključne besede: | landslides, support vector machines, decision trees classifier, Starča Basin |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Leto izida: | 2011 |
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| Št. strani: | str. 45-55 |
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| Številčenje: | Letn. 8, št. 2 |
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| PID: | 20.500.12556/DKUM-70766  |
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| ISSN: | 1854-0171 |
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| UDK: | 550.348.435(497.5) |
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| COBISS.SI-ID: | 262545920 |
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| ISSN pri članku: | 1854-0171 |
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| NUK URN: | URN:SI:UM:DK:IV0E4EOX |
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| Avtorske pravice: | Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo Univerze v Mariboru |
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| Datum objave v DKUM: | 13.06.2018 |
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| Število ogledov: | 1408 |
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| Število prenosov: | 74 |
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| Metapodatki: |    |
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| Področja: | Ostalo
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