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Analysis of the adaptive neural network router

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Abstract

The standard method for optimal routing based on the adaptive distance vector algorithm is considered. Its advantages and disadvantages are analyzed. An intelligent algorithm based on the neural network theory is proposed as an alternative. The simulation showed that the use of neural networks in the router makes it possible to reduce network equipment resources, speed up the optimal minimum delay routing, and correct distorted data without intervention from a system administrator.

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Author information

Authors and Affiliations

  1. Odessa National Maritime University, ul. Mechnikova 34, Odessa, 65000, Ukraine

    V. S. Mikhailenko

  2. Odessa National Academy of Food Technologies, ul. Kanatnaya 112, Odessa, 65039, Ukraine

    M. S. Solodovnik

Authors
  1. V. S. Mikhailenko
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  2. M. S. Solodovnik
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Corresponding author

Correspondence to V. S. Mikhailenko.

Additional information

Original Russian Text © V.S. Mikhailenko, M.S. Solodovnik, 2016, published in Avtomatika i Vychislitel’naya Tekhnika, 2016.

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Mikhailenko, V.S., Solodovnik, M.S. Analysis of the adaptive neural network router. Aut. Control Comp. Sci. 50, 46–53 (2016). https://doi.org/10.3103/S0146411616010089

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  • DOI: https://doi.org/10.3103/S0146411616010089

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