Universiti Teknologi Malaysia Institutional Repository

A neural model for predicting the time performance of traditional general contract (TGC) project

Mohamad Zin, Rosli and Tan, Caren Cai Loon (2008) A neural model for predicting the time performance of traditional general contract (TGC) project. Malaysian Journal of Civil Engineering, 20 (1). pp. 26-37. ISSN 1823-7843

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Abstract

Several studies had shown that many project managers are facing difficulties in predicting the time performance of Traditional General Contract (TGC) projects because there are many factors that affect TGC project success. This study presents the development of a model that can be used to predict the time performance of TGC project. Through literature research, fortyfour success factors affecting TGC project have been established. The degree of importance for these factors was determined through questionnaire survey. The outcome of the survey formed a basis for the development of the time performance prediction model using Artificial Neural Network technique. The best model was found to be a multi-layer back-propagation neural network consists of eight input nodes, five hidden nodes and three output nodes. The model was tested by using data from nine new projects. The results show that the mean error for this prediction model is relatively low. The developed model enables all parties involved in TGC projects to predict and ensure that their project is on time

Item Type:Article
Uncontrolled Keywords:Artificial Neural Network, Project performance, Traditional General Contract
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Civil Engineering
ID Code:8188
Deposited By: Farah Nadzirah Jamrus
Deposited On:02 Apr 2009 06:11
Last Modified:16 Apr 2014 04:35

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