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Multi-valued neurons: Learning, networks, application to image recognition and extrapolation of temporal series

  • Naum N. Aizenberg
  • Igor N. Aizenberg
  • Georgy A. Krivosheev
Learning
Part of the Lecture Notes in Computer Science book series (LNCS, volume 930)

Abstract

In this paper we consider in the developing conception of multi-valued neurons. First of all significant reinforcement of the learning algorithm which led to the 20–30 — times acceleration of the convergence of learning is proposed. Then neural network based on multi-valued neurons where each neuron is connected with restricted number of other ones (function of connections is defined as random function) is considered. Application of such an network to image recognition is proposed. Then approach to extrapolation of the temporal series based on the representation of the series as multiple-valued function, learning of the single neural element and furtheron forecasting of the function's values is also considered.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Naum N. Aizenberg
    • 1
  • Igor N. Aizenberg
    • 2
  • Georgy A. Krivosheev
    • 3
  1. 1.University of UzhgorodUzhgorodUkraine
  2. 2.Company “INFORM RTG Ltd”UzhgorodUkraine
  3. 3.Company “INFORM RTG Ltd”MoscowRussia

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