Chen, W T and Huang, Y H (2006) Approximately predicting the cost and duration of school reconstruction projects in Taiwan. Construction Management and Economics, 24(12), pp. 1231-1239. ISSN 1466433X
Abstract
Regression and neural network models have been developed to predict the cost and duration of projects for the reconstruction of schools which must be quickly rebuilt. Data for the school reconstruction projects in central Taiwan, which received the most serious damage from the Chi-Chi Earthquake, were collected and analysed. The analytical results demonstrate that the floor area provides a good basis for estimating the cost and duration of school reconstruction projects, and suggest that the neural network model with back-propagation learning technique is a feasible approach that yields better prediction results than the regression model for school reconstruction projects.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | cost and duration; neural networks; reconstruction project; regression analysis |
| Index terms: | regression model, reconstruction, propagation, earthquake, regression analysis, duration, Taiwan, neural network, estimating |
| Subjects: | environmental hazards, statistical analysis, building construction, project controls, Geography, financial and cost management, artificial intelligence, engineering process |
| Topics: | Cost Management, Geographical Context, Research Practice, Engineering Principles, Sustainability, Digital Applications, Time Control |
| Descriptive scope: | 3 PCA |
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