Comprehensive Models for Evaluating Rockmass Stability Based on Statistical Comparisons of Multiple Classifiers
المؤلفون المشاركون
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-09-12
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
The relationships between geological features and rockmass behaviors under complex geological environments were investigated based on multiple intelligence classifiers.
Random forest, support vector machine, bayes' classifier, fisher's classifier, logistic regression, and neural networks were used to establish models for evaluating the rockmass stability of slope.
Samples of both circular failure mechanism and wedge failure mechanism were considered to establish and calibrate the comprehensive models.
The classification performances of different modeling approaches were analyzed and compared by receiver operating characteristic (ROC) curves systematically.
Results show that the proposed random forest model has the highest accuracy for evaluating slope stability of circular failure mechanism, while the support vector Machine model has the highest accuracy for evaluating slope stability of wedge failure mechanism.
It is demonstrated that the established random forest and the support vector machine models are effective and efficient approaches to evaluate the rockmass stability of slope.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Dong, Longjun& Li, Xibing. 2013. Comprehensive Models for Evaluating Rockmass Stability Based on Statistical Comparisons of Multiple Classifiers. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1009235
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Dong, Longjun& Li, Xibing. Comprehensive Models for Evaluating Rockmass Stability Based on Statistical Comparisons of Multiple Classifiers. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1009235
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Dong, Longjun& Li, Xibing. Comprehensive Models for Evaluating Rockmass Stability Based on Statistical Comparisons of Multiple Classifiers. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1009235
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1009235
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