Company Viability Prediction using Neural Networks with Sparse Data

J. van Bussel, L.P.J. Veelenturf

    Research output: Contribution to journal › Article › Academic

    Original languageUndefined
    Pages (from-to)5-13
    Number of pages9
    JournalJournal of computational intelligence in finance
    Volume5
    Issue number4
    Publication statusPublished - 1997

    Keywords

    • METIS-112341

    Cite this

    van Bussel, J. ; Veelenturf, L.P.J. / Company Viability Prediction using Neural Networks with Sparse Data. In: Journal of computational intelligence in finance. 1997 ; Vol. 5, No. 4. pp. 5-13.
    @article{adc02e6931204c508a66063019ad212e,
    title = "Company Viability Prediction using Neural Networks with Sparse Data",
    keywords = "METIS-112341",
    author = "{van Bussel}, J. and L.P.J. Veelenturf",
    year = "1997",
    language = "Undefined",
    volume = "5",
    pages = "5--13",
    journal = "Journal of computational intelligence in finance",
    issn = "1092-7018",
    publisher = "Finance & Technology Publishing",
    number = "4",

    }

    van Bussel, J & Veelenturf, LPJ 1997, 'Company Viability Prediction using Neural Networks with Sparse Data' Journal of computational intelligence in finance, vol. 5, no. 4, pp. 5-13.

    Company Viability Prediction using Neural Networks with Sparse Data. / van Bussel, J.; Veelenturf, L.P.J.

    In: Journal of computational intelligence in finance, Vol. 5, No. 4, 1997, p. 5-13.

    Research output: Contribution to journal › Article › Academic

    TY - JOUR

    T1 - Company Viability Prediction using Neural Networks with Sparse Data

    AU - van Bussel, J.

    AU - Veelenturf, L.P.J.

    PY - 1997

    Y1 - 1997

    KW - METIS-112341

    M3 - Article

    VL - 5

    SP - 5

    EP - 13

    JO - Journal of computational intelligence in finance

    JF - Journal of computational intelligence in finance

    SN - 1092-7018

    IS - 4

    ER -

    van Bussel J, Veelenturf LPJ. Company Viability Prediction using Neural Networks with Sparse Data. Journal of computational intelligence in finance. 1997;5(4):5-13.