Selecting methods for realization system of forecasting time series (exchange rates), using neural networks

Authors

  • К. В. Притула Національний технічний університет України «КПІ»
  • A. B. Симоненко Національний технічний університет України «КПІ»

DOI:

https://doi.org/10.18372/2073-4751.1.9184

Abstract

This article is devoted to assortment methods for realization the system of time series prediction. In addition the comparison of the method GMDH. This system can be used to forecast exchange rates

References

Ф. Уоссерман Нейрокомпьютерная техника: теорія и практика - М.: Мир. 1992 - 592 с.

Rumelhart D. Е., Hinton G. Е., Willia msR. J. 1986. Learning internal reprentations by error propagation. In Parallel distributed processing, vol. 1, pp. 318 - 62. Cambridge. MA: MIT Press.

Wasserman P. D. 1988a. Combined backpropagation / Cauchy machine. Proceedings of the International Newral Network Society. New York: Pergamon Press. - 556 p.

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How to Cite

Притула, К. В., & Симоненко A. B. (2011). Selecting methods for realization system of forecasting time series (exchange rates), using neural networks. Problems of Informatization and Control, 1(33), 119–124. https://doi.org/10.18372/2073-4751.1.9184

Issue

Vol. 1 No. 33 (2011)

Section

Статті

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