International conference on construction engineering and project management (국제학술발표논문집)
- 2005.10a
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- Pages.913-916
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- 2005
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- 2508-9048(eISSN)
FORECASTING THE COST AND DURATION OF SCHOOL RECONSTRUCTION PROJECTS USING ARTIFICIAL NEURAL NETWORK
- Ying-Hua Huang (Dept. of Constr. Engrg, Nat'l Yunlin University of Sci. and Tech.) ;
- Wei Tong Chen (Dept. of Constr. Engrg, Nat'l Yunlin University of Sci. and Tech.) ;
- Shih-Chieh Chan (Dept. of Constr. Engrg, Nat'l Yunlin University of Sci. and Tech.)
- Published : 2005.10.16
Abstract
This paper presents the development of Artificial Neural Network models for forecasting the cost and contract duration of school reconstruction projects to assist the planners' decision-making in the early stage of the projects. 132 schools reconstruction projects in central Taiwan, which received the most serious damage from the Chi-Chi Earthquake, were collected. The developed Artificial Neural Network prediction models demonstrate good prediction abilities with average error rates under 10% for school reconstruction projects. The analytical results indicate that the Artificial Neural Network model with back-propagation learning is a feasible method to produce accurate prediction results to assist planners' decision-making process.