Pulse neural network modeling in multidimensional pulse sequences recognition task

Authors

  • O. K. Kolesnytskyi
  • S. M. Bohatchuk
  • M. V. Kreshchenetska
  • S. S. Yaremchuk

Keywords:

multidimensional pulse series, pulsed neural network, recognition, backpropagation algorithm, linear classification algorithm

Abstract

Problem of multidimensional pulse series recognition and possible ways of its solving were considered. For recognition problem solving pulsed neuron network, consisted of pulsed (or LIF — Leaky Integrate-and-Fire) neuron with recurrent connections was used. To determine the best algorithm by the criterion of validity and the error value, back propagation and linear classification algorithms were used for the network training. Analysis of the results testifies that the best algorithm is the linear classification one.

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Published

2010-11-12

How to Cite

[1]
O. K. Kolesnytskyi, S. M. Bohatchuk, M. V. Kreshchenetska, and S. S. Yaremchuk, “Pulse neural network modeling in multidimensional pulse sequences recognition task”, Вісник ВПІ, no. 5, pp. 62–66, Nov. 2010.

Issue

No 5 (2008)

Section

Information technologies and computer sciences

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