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

Theoretical and Applied Climatology

Volumn 128, Issue 1-2, 2017, Pages 255-273

  Pham, Binh Thai ^a,b   Tien Bui, Dieu ^c   Pourghasemi, Hamid Reza ^d   Indra, Prakash ^e   Dholakia, M B ^a  

^a GUJARAT TECHNOLOGICAL UNIVERSITY   (India)

^b University of Transport Technology   (Viet Nam)

^c UNIVERSITY OF SOUTH EASTERN NORWAY   (Norway)

^d SHIRAZ UNIVERSITY   (Iran)

^e Government of India)   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; ASSESSMENT METHOD; COMPARATIVE STUDY; GIS; LANDSLIDE; PREDICTION; SUPPORT VECTOR MACHINE;

INDIA; UTTARAKHAND;

EID: 84951869124     PISSN: 0177798X     EISSN: 14344483     Source Type: Journal    
DOI: 10.1007/s00704-015-1702-9     Document Type: Article

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