A Cost Estimation Model for Repair Bridges Based on Artificial Neural Network
Mohamed Bouabaz and Mounir Hamami
DOI : 10.3844/ajassp.2008.334.339
American Journal of Applied Sciences
Volume 5, Issue 4
Estimating the total cost of bridges repair and maintenance with high accuracy is an important components, and points to a need for a cost estimation model. This paper focuses on the development of a more accurate estimation model for repair and maintenance of bridges in developing countries using artificial neural networks. Cost and design data for two categories of repair bridges were used for training and testing our neural network model, with only three main parameters used in estimating the total cost of repairing bridges. An accuracy of 96% was achieved.
© 2008 Mohamed Bouabaz and Mounir Hamami. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.