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Radial Basis Function Networks as a Core of Individual Adapted Pilot Control Action Model

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Abstract

The ways to develop individually adapted pilot control actions model are presented. The evolution of using neural networks for design of such models is considered. The analysis of models based on different neural networks architectures is provided. The features of the solution of the pilot control support problem by changing the information field is discussed. The described approach can be used as a basis for prospective individually adapted pilot support systems.

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Authors and Affiliations

  1. Moscow Aviation Institute, Moscow, Russia

    V. I. Glushankova, R. V. Kim & V. A. Yakimenko

Authors
  1. V. I. Glushankova
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  2. R. V. Kim
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  3. V. A. Yakimenko
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Corresponding author

Correspondence to V. I. Glushankova.

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Translated by B. Gilbert

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Glushankova, V.I., Kim, R.V. & Yakimenko, V.A. Radial Basis Function Networks as a Core of Individual Adapted Pilot Control Action Model. Russ. Engin. Res. 40, 1121–1123 (2020). https://doi.org/10.3103/S1068798X2012031X

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  • DOI: https://doi.org/10.3103/S1068798X2012031X

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