Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam

International Journal of Digital Earth

Volumn 9, Issue 11, 2016, Pages 1077-1097

  Tien Bui, Dieu ^a,b   Pham, Binh Thai ^c,d   Nguyen, Quoc Phi ^b   Hoang, Nhat Duc ^e  

^a UNIVERSITY OF SOUTH EASTERN NORWAY   (Norway)

^b HANOI UNIVERSITY OF MINING AND GEOLOGY   (Viet Nam)

^c GUJARAT TECHNOLOGICAL UNIVERSITY   (India)

^d University of Transport Technology   (Viet Nam)

^e DUY TAN UNIVERSITY   (Viet Nam)

Author keywords

differential evolution; GIS; Least Squares Support Vector Machines; Shallow landslide; Vietnam

Indexed keywords

DECISION TREES; EVOLUTIONARY ALGORITHMS; FORECASTING; GEOGRAPHIC INFORMATION SYSTEMS; LANDSLIDES; MULTILAYER NEURAL NETWORKS; OPTIMIZATION; PREDICTIVE ANALYTICS; RAIN; VECTORS;

DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION OPTIMIZATIONS; HYBRID INTELLIGENCE APPROACHES; LEAST SQUARES SUPPORT VECTOR MACHINES; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; RECEIVER OPERATING CHARACTERISTIC CURVES; SHALLOW LANDSLIDE; VIET NAM;

SUPPORT VECTOR MACHINES;

LANDSLIDE; LEAST SQUARES METHOD; MAPPING METHOD; PRECIPITATION INTENSITY; PREDICTION; SPATIOTEMPORAL ANALYSIS; SUPPORT VECTOR MACHINE;

VIET NAM;

EID: 84964514000     PISSN: 17538947     EISSN: 17538955     Source Type: Journal    
DOI: 10.1080/17538947.2016.1169561     Document Type: Article

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