A Neural Network Model for Construction Projects Site Overhead Cost\n Estimating in Egypt

Ismaail ElSawy, Hossam Hosny, Mohammed Abdel Razek

arXiv (Cornell University) · 2011 · 27 citations · 0 references

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Abstract

Estimating of the overhead costs of building construction projects is an\nimportant task in the management of these projects. The quality of construction\nmanagement depends heavily on their accurate cost estimation. Construction\ncosts prediction is a very difficult and sophisticated task especially when\nusing manual calculation methods. This paper uses Artificial Neural Network\n(ANN) approach to develop a parametric cost-estimating model for site overhead\ncost in Egypt. Fifty-two actual real-life cases of building projects\nconstructed in Egypt during the seven year period 2002-2009 were used as\ntraining materials. The neural network architecture is presented for the\nestimation of the site overhead costs as a percentage from the total project\nprice.\n