Abstract
A report on the design of cold-formed steel sections using neural networks was presented. The design criteria were limited to minimum weight. The input parameters consisted of the wall thickness, design load, and required length. All dedicated networks were created for the three profile types. The training set available for the plain section was limited which resulted in a less accurate network.
Original language | English |
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Title of host publication | CCP: 74 |
Subtitle of host publication | Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering |
Editors | B.H.V. Topping, B. Kumar |
Publisher | Civil-Comp Press |
Pages | 43-44 |
Number of pages | 2 |
ISBN (Print) | 0948749806 |
DOIs | |
Publication status | Published - 2001 |
Event | Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering - Vienna, Austria Duration: 19 Sept 2001 → 21 Sept 2001 |
Conference
Conference | Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering |
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Country/Territory | Austria |
City | Vienna |
Period | 19/09/01 → 21/09/01 |
Keywords
- Cold-formed steel
- Neural network
- Structural design
ASJC Scopus subject areas
- General Engineering