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Modification of Method of Least Squares for Tutoring a Neural Networks

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Book cover Intelligent Information Systems 2002

Part of the book series: Advances in Soft Computing ((AINSC,volume 17))

Abstract

The feasibility of function of errors with fractional exponent for solving of a problem of optimization and tutoring of neural networks was theoretically explored. The analytical expressions for estimation of parameters of the models or weight factors were obtained. The algorithms were designed and the numerical experiment on actual economic datas was held, where the efficiency of an offered procedure is shown.

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Author information

Authors and Affiliations

  1. Koszalin Technical University, Koszalin, Poland

    Alexander P. Grinko & Michal M. Karpuk

Authors
  1. Alexander P. Grinko
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  2. Michal M. Karpuk
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Editor information

Editors and Affiliations

  1. Institute of Computer Science, Polish Academy of Sciences, ul. Ordona 21, 01-237, Warsaw, Poland

    Mieczysław A. Kłopotek , Sławomir T. Wierzchoń  & Maciej Michalewicz ,  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Grinko, A.P., Karpuk, M.M. (2002). Modification of Method of Least Squares for Tutoring a Neural Networks. In: Kłopotek, M.A., Wierzchoń, S.T., Michalewicz, M. (eds) Intelligent Information Systems 2002. Advances in Soft Computing, vol 17. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1777-5_16

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  • DOI: https://doi.org/10.1007/978-3-7908-1777-5_16

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1509-2

  • Online ISBN: 978-3-7908-1777-5

  • eBook Packages: Springer Book Archive

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