Measurement Techniques

, Volume 58, Issue 4, pp 462–466 | Cite as

Measuring Order Parameters Based on Neural Network Technologies

  • Yu. V. Vokhmina
  • V. M. Eskov
  • T. V. Gavrilenko
  • O. E. Filatova

We show convergence of a procedure for multiple training of a neural network, when during multiple repetitions of the solution of a binary classification task based on unchanged packets of training samples the neural emulator can initially demonstrate a chaotic set of values for the feature weights, which as the number of iterations increases is reduced to a certain ranked series.


biosystem order parameters neural network theory of chaos and self-organization 


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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Yu. V. Vokhmina
    • 1
  • V. M. Eskov
    • 1
  • T. V. Gavrilenko
    • 1
  • O. E. Filatova
    • 1
  1. 1.Surgut State UniversitySurgutRussia

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