Application of a hybrid model of neural networks and genetic algorithms to evaluate landslide susceptibility

Application of a hybrid model of neural networks and genetic algorithms to evaluate landslide susceptibility

Abstract Background In the last few decades, the development of Geographical Information Systems (GIS) technology has provided a method for the evaluation of landslide susceptibility and hazard. Slope units were found to be appropriate for the fundamental morphological elements in landslide suscepti...

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Bibliographic Details
Main Authors: H. B. Wang, J. M. Li, B. Zhou, Y. Zhou, Z. Q. Yuan, Y. P. Chen
Format: Article
Language:English
Published: SpringerOpen 2017-04-01
Series:Geoenvironmental Disasters
Subjects:
Landslide
Geographical Information Systems
Genetic algorithms
Back propagation neural networks
Susceptibility evaluation
Online Access:http://link.springer.com/article/10.1186/s40677-017-0076-y

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http://link.springer.com/article/10.1186/s40677-017-0076-y

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