Journal of Structural and Construction Engineering

Journal of Structural and Construction Engineering

Estimation of the building costs using intelligence data driven methods and determining the factors influencing on cost. (Case study: East of Tehran province)

Document Type : Original Article

Authors
reza lotfi kazemi 1
Mohammad Javad Taheri Amiri 2
Ali Ashrafian 3
Hossein Pahlavan 4
1 msc student in construction engineering and management, higher education institute of pardisan
2 Assistant professor, Pardisan University of Fereydonkenar, Fereydonkenar, Iran
3 Civil Engineering Department, Tabari University, Babol, Iran
4 Assistant Professor, Department of Civil Engineering, Shahrood University of Technology
10.22065/jsce.2020.199835.1938
Abstract
\Today, the importance of construction costs in construction projects is increasing day by day and it is necessary to study the estimation of construction costs and the factors affecting construction costs.This research has been done around the subject of estimate the construction costs by intelligence data driven methods named Artificial Neural Network (ANN), Support Vector Machine (SVM) and Gene Expression Programming (GEP) determine the effective factors on cost and cost optimization in east of Tehran. To estimate the costs of residential buildings, in this research it's used from 46 residential buildings which were implemented in west of Tehran and it's used from the artificial intelligence method to estimate the construction costs that is used from ANN, artificial neural network method, GEP, SVM and it was used from questionnaire and Friedman test method to diagnosis the effective factors on costs to prioritize factors that can optimize the costs by possessing these two factors, the effective factors on costs and construction costs estimation . After reviews and studies we resulted that costs estimation had been done by ANN, GEP, SVM methods and by comparing these methods, GEP cause of its less errors and more predictability, was the best method than others. The effective factors on costs were determined by Friedman test method that after reviews these factors, construction costs had been optimized.
Keywords
Artificial intelligence methods
Estimation
Effective factors on cost
Optimization
ANN
SVM
GEP
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  • Receive Date 01 September 2019
  • Revise Date 25 February 2020
  • Accept Date 07 March 2020