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Paper: w78-1999-2476
| Paper title: | Cost estimation of high performance concrete (hpc) high-rise commercial buildings by neural networks |
| Authors: | Fang C F, Froese T |
| Summary: | Neural network approach is applied to establish relationships between the quantities/cost of the concrete/formwork, which is required for the structural elements of tall buildings using high performance concrete (HPC), and the design variables. Hybrid and hierarchical strategies are proposed for the cost estimation, where the feed-forward networks are adopted. After training, the neural networks are utilized to predict automatically the quantities/cost of HPC wall-frame structures in tall commercial buildings. Verifications are conducted with respect to various sets of the design parameters and a comprehensive discussion is given. |
| Type: | |
| Year of publication: | 1999 |
| Series: | w78:1999 |
| ISSN: | 2706-6568 |
| Download paper: | /pdfs/w78-1999-2476.content.pdf |
| Citation: | Fang C F, Froese T (1999). Cost estimation of high performance concrete (hpc) high-rise commercial buildings by neural networks. Lacasse M A, Vanier D J (ed.); Information technology in construction, volume 4, ISBN 0-660-17743-9; Vancouver, May 30 - June 3, Canada (ISSN: 2706-6568), http://itc.scix.net/paper/w78-1999-2476 |
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