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http://hdl.handle.net/20.500.12358/23313
TitleInfluencing Cost Factors in Road Projects in Gaza Strip Using ANN
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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.

Authors
Rustom, Rifat N.
Abujamous, Hasan K.
Abukmail, Mahmoud Y.
TypeJournal Article
Date2015
LanguageEnglish
Published inJournal of Engineering Research and Technology
SeriesVolume: 2, Number: 1
Publisherالجامعة الإسلامية - غزة
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  • Staff Publications- Faculty of Engineering [908]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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