Influencing cost factors in road projects in Gaza Strip using ANN

Joint Authors

Abu Jamus, Hasan KH.
Abu Kmail, Mahmud
Rustum, Rifat N.

Source

The fifth International Conference on Engineering and Sustainability : is scheduled on November 4-5, 2014

Publisher

Islamic University of Gaza Faculty of Engineering

Publication Date

2014-11-30

Country of Publication

Palestine (Gaza Strip)

No. of Pages

10

Main Subjects

Engineering & Technology Sciences (Multidisciplinary)

English Abstract

Conceptual cost estimate can serve the owners’ feasibility estimate and assists in the establishment of the owner's funding which aids the engineers in designing to a specific budget.

Conceptual estimating exhibits low accuracy level due to the lack of project information and the high level of uncertainty at early stage of project development.

The purpose of this paper is to determine the most influencing cost factors in road projects using delphi technique and artificial neural networks.

These factors were employed in a neural network (NN) for building a multi-layer perceptron (MLP) model to estimate the road project cost.

Historical data of Gaza strip road projects were used to train and test the MLP model.

The model developed showed a reduced error rate of 6.3 % which demonstrates the ability to estimate the cost of road projects at early stage with higher accuracy.

Data Type

Conference Papers

Record ID

BIM-775187

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