Using Neural Networks to Design Cold-Formed Steel Sections

R. I. Mackie, E. M. A. El-Kassas, A. I. El-Sheikh

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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 languageEnglish
    Title of host publicationCCP: 74
    Subtitle of host publicationProceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering
    EditorsB.H.V. Topping, B. Kumar
    PublisherCivil-Comp Press
    Pages43-44
    Number of pages2
    ISBN (Print)0948749806
    DOIs
    Publication statusPublished - 2001
    EventProceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering - Vienna, Austria
    Duration: 19 Sep 200121 Sep 2001

    Conference

    ConferenceProceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering
    CountryAustria
    CityVienna
    Period19/09/0121/09/01

    Keywords

    • Cold-formed steel
    • Neural network
    • Structural design

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