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    Refinement of Backward Prediction Method for Reliable Artificial Intelligence-Based Bridge Deterioration Modelling

    New search for: Lee, J.
    New search for: Guan, H.
    New search for: Loo, Y.-C.
    New search for: Blumenstein, M.
    New search for: Chan, Tommy H. T.
    New search for: Samali, Bijan

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    Refinement of Backward Prediction Method for Reliable Artificial Intelligence-Based Bridge Deterioration Modelling

    New search for: Lee, J.
    New search for: Guan, H.
    New search for: Loo, Y.-C.
    New search for: Blumenstein, M.
    New search for: Chan, Tommy H. T.
    New search for: Samali, Bijan

    Access

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

    Refinement of Backward Prediction Method for Reliable Artificial Intelligence-Based Bridge Deterioration Modelling

    New search for: Lee, J.
    New search for: Guan, H.
    New search for: Loo, Y.-C.
    New search for: Blumenstein, M.
    New search for: Chan, Tommy H. T.
    New search for: Samali, Bijan

    Access

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

    Access

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    Check availability in my library
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    Document information
    Title:

    Refinement of Backward Prediction Method for Reliable Artificial Intelligence-Based Bridge Deterioration Modelling

    Contributors:

    Lee, J. (author) / Guan, H. (author) / Loo, Y.-C. (author) / Blumenstein, M. (author) / Chan, Tommy H. T. / Samali, Bijan / Australian Network of Structural Health Monitoring

    Conference:

    Workshop; 2nd, Australian Network of Structural Health Monitoring; ; 2012 ; Sydney, Australia

    Published in:

    Australian Network of Structural Health Monitoring; ; 825-836

    ADVANCES IN STRUCTURAL ENGINEERING ; 15

    Publication date:

    2012-01-01

    Size:

    12 pages

    ISSN:

    1369-4332

    Type of media:

    Conference paper

    Type of material:

    Print

    Language:

    English

    Keywords:

    Structural health monitoring , Health monitoring , ANSHM

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

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