Metodyka prognozowania stanu ekonomiczno-finansowego małych i średnich przedsiębiorstw

Andrzej Burda; Zdzisław Hippe

doi:10.56583/br.1377

Published : 2010-05-13

No. 1 (19) (2010)

Methodology of Predicting the Future Condition of Small and Medium Enterprises

Andrzej Burda

Zdzisław Hippe

DOI: https://doi.org/10.56583/br.1377

Abstract

Our paper presents the concept behind a new methodology of predicting the future condition (i.e. over-all state) of small and medium enterprises, relied on results of a specific data mining procedure. The developed procedure is based on the controlled improvement of the source data set (describing the investigated objects) with the use of an ensemble of artificial neural networks, EANN. Then, in the next step of the procedure, various machine learning algorithms are applied to generate models that figure out inherent properties of the investigated objects. The reliability of the prediction, confirmed in a very exhaustive tests conducted on data from the span of 8 years, was close to 80% of correctness.

Keywords:

small and medium enterprises, neural networks, predicting the future condition

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Burda, A., & Hippe, Z. (2010). Methodology of Predicting the Future Condition of Small and Medium Enterprises. Regional Barometer. Analyses & Prognoses, (1 (19), 7–10. https://doi.org/10.56583/br.1377

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References

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Andrzej Burda

br@akademiazamojska.edu.pl

Affiliation:

University of Management and Administration in Zamość Poland

Zdzisław Hippe

br@akademiazamojska.edu.pl

Affiliation:

University of Information Technology and Management in Rzeszow Poland