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Ensembles of Artificial Neural Networks for Predicting Economic Situation of Small and Medium Enterprises

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Computer Recognition Systems 2

Part of the book series: Advances in Soft Computing ((AINSC,volume 45))

Abstract

Results of predicting an economic and financial situation of small and medium size enterprises from Lubelskie and Podkarpackie regions are presented. As opposed to other research in this field, the micro-macro (mezzo-) modeling concept was used. The results of prediction using neural perceptrons and two types of ensembles of artificial neural networks were compared. Some conclusions and directions of further research aiming at improving quality and extending the functionalism of enterprises being investigated are dealt with.

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Author information

Authors and Affiliations

  1. College of Management and Public Administration in Zamość, Akademicka 4, 22-400, Zamość, Poland

    Andrzej Burda & Barbara Kuczmowska

  2. University of Information Technology and Management in Rzeszów, Sucharskiego 2, 35-225, Rzeszów, Poland

    Zdzisław S. Hippe

Authors
  1. Andrzej Burda
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  2. Barbara Kuczmowska
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  3. Zdzisław S. Hippe
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Editor information

Editors and Affiliations

  1. Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marek Kurzynski , Edward Puchala , Michal Wozniak  & Andrzej Zolnierek , ,  & 

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© 2007 Springer-Verlag Berlin Heidelberg

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Burda, A., Kuczmowska, B., Hippe, Z.S. (2007). Ensembles of Artificial Neural Networks for Predicting Economic Situation of Small and Medium Enterprises. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_100

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  • DOI: https://doi.org/10.1007/978-3-540-75175-5_100

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75174-8

  • Online ISBN: 978-3-540-75175-5

  • eBook Packages: EngineeringEngineering (R0)

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