A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses

Landslide-susceptibility mapping is one of the most critical issues in Malaysia. These landslides can be systematically assessed and mapped through a traditional mapping framework that uses geoinformation technologies (GIT). The main purpose of this paper is to investigate the possible application o...

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Veröffentlicht in:	Computers, environment and urban systems environment and urban systems, 2010-05, Vol.34 (3), p.216-235
Hauptverfasser:	Pradhan, Biswajeet, Lee, Saro, Buchroithner, Manfred F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Buildings. Public works Computation methods. Tables. Charts Cross-application Exact sciences and technology Geotechnics Landslide Malaysia Neural network model Soil mechanics. Rocks mechanics Structural analysis. Stresses Susceptibility
Online-Zugang:	Volltext
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