Yushu, China earthquake struck area using artificial neural network model

Earthquake-triggered landslide susceptibility mapping in the 2010 Yushu, China earthquake struck area using artificial neural network model 

Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration, China 

Keywords the 2010 Yushu earthquake, landslides, susceptibhity, artificial neural network, GIS, remote 

Vector Machine (SVM) (Brenning 2005 Yilmaz 2010 Xu Xu 2012a Xu et al. 2012a, 2012b). Among these methods, for landslide susceptibility mapping, ANN model is a relatively new approach and has good performances in different countries and study areas. 

ANN has the ability to handle imprecise and fuzzy data they can work with continuous, categorical and binary data without violating any assumptions. As assessment of probability for landslide occurrence is performed through the forecast of 

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