International Journal of Engineering Management and Economics
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International Journal of Engineering Management and Economics (1 paper in press)
A MODEL UTILIZING THE ARTIFICIAL NEURAL NETWORK IN COST ESTIMATION OF CONSTRUCTION PROJECTS IN JORDAN by Dareen Al-Tawal, Ghaleb J. Sweis, Mazen Arafeh Abstract: The efficacy and methodologies of artificial neural network (ANN) was performed on cost and design data of 104 building projects constructed over the past 5 years in Jordan to develop, train, and test a cost predictive ANN models. Fifty-three design parameters were utilized to develop the first ANN model at the detailed design stage, then a reduced factors of Forty-one design parameters were utilized to develop the second predictive model at the schematic design stage. Finally, Twenty-seven design parameters available at the concept design stage were utilized for the third ANN model. The models achieved an average cost estimation accuracies of 98%, 98%, and 97%, respectively, in the three stages. Keywords: Cost Estimation; Project Cost; Artificial Neural Network; Construction Project.