Neural Network-Based Model for Predicting Preliminary Construction Cost as Part of Cost Predicting System
المؤلفون المشاركون
Car-Pusic, Diana
Petruseva, Silvana
Zileska Pancovska, Valentina
Zafirovski, Zlatko
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-29
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
A model for early construction cost prediction is useful for all construction project participants.
This paper presents a combination of process-based and data-driven model for construction cost prediction in early project phases.
Bromilow’s “time-cost” model is used as process-based model and general regression neural network (GRNN) as data-driven model.
GRNN gave the most accurate prediction among three prediction models using neural networks which were applied, with the mean absolute percentage error (MAPE) of about 0.73% and the coefficient of determination R2 of 99.55%.
The correlation coefficient between the predicted and the actual values is 0.998.
The model is designed as an integral part of the cost predicting system (CPS), whose role is to estimate project costs in the early stages.
The obtained results are used as Cost Model (CM) input being both part of the Decision Support System (DSS) and part of the wider Building Management Information System (BMIS).
The model can be useful for all project participants to predict construction cost in early project stage, especially in the phases of bidding and contracting when many factors, which can determine the construction project implementation, are yet unknown.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Car-Pusic, Diana& Petruseva, Silvana& Zileska Pancovska, Valentina& Zafirovski, Zlatko. 2020. Neural Network-Based Model for Predicting Preliminary Construction Cost as Part of Cost Predicting System. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1125327
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Car-Pusic, Diana…[et al.]. Neural Network-Based Model for Predicting Preliminary Construction Cost as Part of Cost Predicting System. Advances in Civil Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1125327
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Car-Pusic, Diana& Petruseva, Silvana& Zileska Pancovska, Valentina& Zafirovski, Zlatko. Neural Network-Based Model for Predicting Preliminary Construction Cost as Part of Cost Predicting System. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1125327
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1125327
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