Landslide susceptibility mapping at VAZ watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms
Landslide susceptibility and hazard assessments are the most important steps in landslide risk mapping. The main objective of this study was to investigate and compare the results of two artificial neural network (ANN) algorithms, i.e., multilayer perceptron (MLP) and radial basic function (RBF) for...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English English |
| 出版事項: |
2013
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/28599/1/Landslide%20susceptibility%20mapping%20at%20VAZ%20watershed.pdf http://psasir.upm.edu.my/id/eprint/28599/ |
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