Spatial prediction of landslide hazard at the Yihuang area (China): A comparative study on the predictive ability of backpropagation multi-layer perceptron neural networks and radial basic function neural networks

Lecture Notes in Geoinformation and Cartography

Volumn , Issue , 2015, Pages 175-188

  Hong, Haoyuan ^a,b   Xu, Chong ^a   Revhaug, Inge ^c   Bui, Dieu Tien ^d  

^a INSTITUTE OF GEOLOGY   (China)

^b Jiangxi Meteorological Bureau   (China)

^c NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^d UNIVERSITY OF SOUTH EASTERN NORWAY   (Norway)

Author keywords

Landslide; Neural networks; Radial basic function

Indexed keywords

CURVES (ROAD); HAZARDS; LAND USE; LANDSLIDES; LITHOLOGY; MAPS; NETWORK LAYERS; NEURAL NETWORKS; SEDIMENT TRANSPORT;

LANDSLIDE SUSCEPTIBILITY; LANDSLIDE SUSCEPTIBILITY MAPPING; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; NORMALIZED DIFFERENCE VEGETATION INDEX; RADIAL BASIC FUNCTION; RADIAL BASIC FUNCTION NEURAL NETWORK; RADIAL BASIS FUNCTION NEURAL NETWORKS; RECEIVER OPERATING CHARACTERISTICS;

RADIAL BASIS FUNCTION NETWORKS;

EID: 85007478290     PISSN: 18632351     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-17738-0_13     Document Type: Conference Paper

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