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    Neural Network Modelling of Single Adhesive Anchors under Tensile Loading

    New search for: Ashour, A. F.
    New search for: Sakla, S. S. S.
    New search for: Topping, B. H. V.

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    Neural Network Modelling of Single Adhesive Anchors under Tensile Loading

    New search for: Ashour, A. F.
    New search for: Sakla, S. S. S.
    New search for: Topping, B. H. V.

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Neural Network Modelling of Single Adhesive Anchors under Tensile Loading

    New search for: Ashour, A. F.
    New search for: Sakla, S. S. S.
    New search for: Topping, B. H. V.

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

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    Document information
    Similar titles

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    Document information
    Title:

    Neural Network Modelling of Single Adhesive Anchors under Tensile Loading

    Contributors:

    Ashour, A. F. (author) / Sakla, S. S. S. (author) / Topping, B. H. V.

    Conference:

    International conference; 7th, Application of artificial intelligence to civil and structural engineering ; 2003 ; Egmond-aan-Zee, The Netherlands

    Published in:

    Application of artificial intelligence to civil and structural engineering ; 135-136

    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE TO CIVIL AND STRUCTURAL ENGINEERING

    Publication date:

    2003-01-01

    Size:

    2 pages

    Remarks:

    Also known as AICivil-Comp 2003. Held concurrently with the 9th international conference on civil and structural engineering computing (Civil-Comp 2003); Full papers held on CD ROM

    ISBN:

    094874992X , 0948749903 , 0948749911

    Type of media:

    Conference paper

    Type of material:

    Print

    Language:

    English

    Keywords:

    artificial intelligence , structural engineering , civil engineering , AICivil-Comp , Civil-Comp

    © Metadata Copyright the British Library Board and other contributors. All rights reserved.

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