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    Using complex permittivity and artificial neural networks to identify and classify copper, zinc, and lead contamination in soil

    New search for: Amegashie, F.
    New search for: Shang, J.
    New search for: Yanful, E.
    New search for: Ding, W.
    New search for: Al-Martini, S.

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    Using complex permittivity and artificial neural networks to identify and classify copper, zinc, and lead contamination in soil

    New search for: Amegashie, F.
    New search for: Shang, J.
    New search for: Yanful, E.
    New search for: Ding, W.
    New search for: Al-Martini, S.

    Access

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

    Using complex permittivity and artificial neural networks to identify and classify copper, zinc, and lead contamination in soil

    New search for: Amegashie, F.
    New search for: Shang, J.
    New search for: Yanful, E.
    New search for: Ding, W.
    New search for: Al-Martini, S.

    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

    Export, share and cite

    Document information
    Title:

    Using complex permittivity and artificial neural networks to identify and classify copper, zinc, and lead contamination in soil

    Contributors:

    Amegashie, F. (author) / Shang, J. / Yanful, E. / Ding, W. / Al-Martini, S.

    Published in:

    Canadian geotechnical journal ; 43

    Publication date:

    2006

    ISSN:

    0008-3674

    Type of media:

    Article (Journal)

    Type of material:

    Print

    Language:

    Unknown

    Classification:

    Local classification TIB:  385/6545
    BKL:  38.58 Geomechanik / 56.20 Ingenieurgeologie, Bodenmechanik / 56.20 / 38.58

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