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Determination of Important Topographic Factors for Landslide Mapping Analysis Using MLP Network
Joint Authors
Alkhasawneh, Mutasem Sh.
Mat Isa, Nor Ashidi
Ngah, Umi Kalthum
Al-batah, Mohammad Subhi
Tay, Lea Tien
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Landslide is one of the natural disasters that occur in Malaysia.
Topographic factors such as elevation, slope angle, slope aspect, general curvature, plan curvature, and profile curvature are considered as the main causes of landslides.
In order to determine the dominant topographic factors in landslide mapping analysis, a study was conducted and presented in this paper.
There are three main stages involved in this study.
The first stage is the extraction of extra topographic factors.
Previous landslide studies had identified mainly six topographic factors.
Seven new additional factors have been proposed in this study.
They are longitude curvature, tangential curvature, cross section curvature, surface area, diagonal line length, surface roughness, and rugosity.
The second stage is the specification of the weight of each factor using two methods.
The methods are multilayer perceptron (MLP) network classification accuracy and Zhou's algorithm.
At the third stage, the factors with higher weights were used to improve the MLP performance.
Out of the thirteen factors, eight factors were considered as important factors, which are surface area, longitude curvature, diagonal length, slope angle, elevation, slope aspect, rugosity, and profile curvature.
The classification accuracy of multilayer perceptron neural network has increased by 3% after the elimination of five less important factors.
American Psychological Association (APA)
Alkhasawneh, Mutasem Sh.& Ngah, Umi Kalthum& Tay, Lea Tien& Mat Isa, Nor Ashidi& Al-batah, Mohammad Subhi. 2013. Determination of Important Topographic Factors for Landslide Mapping Analysis Using MLP Network. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1032892
Modern Language Association (MLA)
Alkhasawneh, Mutasem Sh.…[et al.]. Determination of Important Topographic Factors for Landslide Mapping Analysis Using MLP Network. The Scientific World Journal No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1032892
American Medical Association (AMA)
Alkhasawneh, Mutasem Sh.& Ngah, Umi Kalthum& Tay, Lea Tien& Mat Isa, Nor Ashidi& Al-batah, Mohammad Subhi. Determination of Important Topographic Factors for Landslide Mapping Analysis Using MLP Network. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1032892
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032892