Comparative analysis of fuzzy neural networks efficiency in macroeconomic and financial indexes forecasting

Authors

  • Yu. P. Zaychenko
  • F. Sevayee
  • Yu. V. Kelestin

Abstract

Fuzzy neural networks (FNN) with the algorithm of Mamdani, Tsukamoto and Sugeno are considered in the problem of macroeconomic and financial indexes forecasting. The comparative experimental investigations of the FNN with different algorithms are described and the most efficient algorithm for such problems is described.

Author Biographies

Yu. P. Zaychenko

Zaychenko Yu.P.

F. Sevayee

Sevayee F.

Yu. V. Kelestin

Kelestin Yu.V.

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Issue

No. 1 (2006)

Section

Problem- and function-oriented computer systems and networks

License

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