Analysis of Cost Overrun in Highway Construction Projects Using Multiple Regression and Artificial Neural Networks
نویسنده
چکیده
Cost overruns are more common in infrastructure projects especially, more common in road construction activities. There existed a need to develop a probabilistic cost overrun analysis model in construction projects as a decision support tool for contractors before the bidding stage. The objective of this study is to identify the critical factors affecting cost overrun and obtain statistical models using multiple regression and artificial neural networks. Regression models are obtained using SPSS software. Using MatlabR2011b a neural network models are obtained in which training of the neural network model is administrated via back propagation algorithm. The model is then validated and results show the better analysis of cost overrun in highway projects.
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