A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS.

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A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS.

he purpose of the present study is to compare the prediction performances of three different approaches such as decision tree (DT), support vector machine (SVM) and adaptive neuro-fuzzy inference system (ANFIS) for landslide susceptibility mapping at Penang Hill area, Malaysia. The necessary input p...

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Bibliographic Details
Main Author:	Pradhan, Biswajeet
Format:	Article
Language:	English English
Published:	2013
Online Access:	http://psasir.upm.edu.my/id/eprint/28468/ http://psasir.upm.edu.my/id/eprint/28468/1/A%20comparative%20study%20on%20the%20predictive%20ability%20of%20the%20decision%20tree.pdf

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