Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study o...
Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods
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Publisher
Vienna: Springer Vienna
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Language
English
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Vienna: Springer Vienna
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The objective of this study is to make a comparison of the prediction performance of three techniques, Functional Trees (FT), Multilayer Perceptron Neural Networks (MLP Neural Nets), and Naïve Bayes (NB) for landslide susceptibility assessment at the Uttarakhand Area (India). Firstly, a landslide inventory map with 430 landslide locations in the st...
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Full title
Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods
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TN_cdi_proquest_miscellaneous_1888972425
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1888972425
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ISSN
0177-798X
E-ISSN
1434-4483
DOI
10.1007/s00704-015-1702-9
