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Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects
المؤلف
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-08-03
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Among the recent data mining techniques available, the boosting approach has attracted a great deal of attention because of its effective learning algorithm and strong boundaries in terms of its generalization performance.
However, the boosting approach has yet to be used in regression problems within the construction domain, including cost estimations, but has been actively utilized in other domains.
Therefore, a boosting regression tree (BRT) is applied to cost estimations at the early stage of a construction project to examine the applicability of the boosting approach to a regression problem within the construction domain.
To evaluate the performance of the BRT model, its performance was compared with that of a neural network (NN) model, which has been proven to have a high performance in cost estimation domains.
The BRT model has shown results similar to those of NN model using 234 actual cost datasets of a building construction project.
In addition, the BRT model can provide additional information such as the importance plot and structure model, which can support estimators in comprehending the decision making process.
Consequently, the boosting approach has potential applicability in preliminary cost estimations in a building construction project.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shin, Yoonseok. 2015. Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1057666
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shin, Yoonseok. Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1057666
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shin, Yoonseok. Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1057666
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057666
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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