Determination of Important Topographic Factors for Landslide Mapping Analysis Using MLP Network
المؤلفون المشاركون
Alkhasawneh, Mutasem Sh.
Mat Isa, Nor Ashidi
Ngah, Umi Kalthum
Al-batah, Mohammad Subhi
Tay, Lea Tien
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-12-18
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1032892
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر