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A neural network forecasting model for integrated economic indicators

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Abstract

This paper considers forecasting models for integrated economic indicators. The first model is implemented as a fuzzy system, and the second one represents a fuzzy-neural module. Finally, we study the possibility of using the fuzzy system as a service tool in the fuzzy-neural module.

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Authors and Affiliations

  1. Voronezh State Technical University, Voronezh, Russia

    K. Yu. Gusev & V. L. Burkovskii

Authors
  1. K. Yu. Gusev
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  2. V. L. Burkovskii
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Additional information

Original Russian Text © K.Yu. Gusev, V.L. Burkovskii, 2012, published in Sistemy Upravleniya i Informatsionnye Tekhnologii, 2012, No. 2, pp. 132–135.

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Gusev, K.Y., Burkovskii, V.L. A neural network forecasting model for integrated economic indicators. Autom Remote Control 74, 1567–1572 (2013). https://doi.org/10.1134/S0005117913090129

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  • DOI: https://doi.org/10.1134/S0005117913090129

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