Kohonen self-organising map (KSOM) extracted features for enhyancing MLP-ANN prediction models of BOD5

R Rustum, Adebayo Adeloye, A Simala

    Research output: Contribution to conferencePaper

    Original languageEnglish
    Pages181-187
    Number of pages7
    Publication statusPublished - Jul 2007
    EventProceedings of Symposium HS2005 at IUGG2007, Quantification and Reduction of Predictive Unvertainty for sustainable Water Resources Management - Prague
    Duration: 1 Jul 2007 → …

    Conference

    ConferenceProceedings of Symposium HS2005 at IUGG2007, Quantification and Reduction of Predictive Unvertainty for sustainable Water Resources Management
    CityPrague
    Period1/07/07 → …

    Cite this

    Rustum, R., Adeloye, A., & Simala, A. (2007). Kohonen self-organising map (KSOM) extracted features for enhyancing MLP-ANN prediction models of BOD5. 181-187. Paper presented at Proceedings of Symposium HS2005 at IUGG2007, Quantification and Reduction of Predictive Unvertainty for sustainable Water Resources Management, Prague, .
    Rustum, R ; Adeloye, Adebayo ; Simala, A. / Kohonen self-organising map (KSOM) extracted features for enhyancing MLP-ANN prediction models of BOD5. Paper presented at Proceedings of Symposium HS2005 at IUGG2007, Quantification and Reduction of Predictive Unvertainty for sustainable Water Resources Management, Prague, .7 p.
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    author = "R Rustum and Adebayo Adeloye and A Simala",
    year = "2007",
    month = "7",
    language = "English",
    pages = "181--187",
    note = "Proceedings of Symposium HS2005 at IUGG2007, Quantification and Reduction of Predictive Unvertainty for sustainable Water Resources Management ; Conference date: 01-07-2007",

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    Rustum, R, Adeloye, A & Simala, A 2007, 'Kohonen self-organising map (KSOM) extracted features for enhyancing MLP-ANN prediction models of BOD5', Paper presented at Proceedings of Symposium HS2005 at IUGG2007, Quantification and Reduction of Predictive Unvertainty for sustainable Water Resources Management, Prague, 1/07/07 pp. 181-187.

    Kohonen self-organising map (KSOM) extracted features for enhyancing MLP-ANN prediction models of BOD5. / Rustum, R; Adeloye, Adebayo; Simala, A.

    2007. 181-187 Paper presented at Proceedings of Symposium HS2005 at IUGG2007, Quantification and Reduction of Predictive Unvertainty for sustainable Water Resources Management, Prague, .

    Research output: Contribution to conferencePaper

    TY - CONF

    T1 - Kohonen self-organising map (KSOM) extracted features for enhyancing MLP-ANN prediction models of BOD5

    AU - Rustum, R

    AU - Adeloye, Adebayo

    AU - Simala, A

    PY - 2007/7

    Y1 - 2007/7

    M3 - Paper

    SP - 181

    EP - 187

    ER -

    Rustum R, Adeloye A, Simala A. Kohonen self-organising map (KSOM) extracted features for enhyancing MLP-ANN prediction models of BOD5. 2007. Paper presented at Proceedings of Symposium HS2005 at IUGG2007, Quantification and Reduction of Predictive Unvertainty for sustainable Water Resources Management, Prague, .