Analysis of the adaptive neural network router
- Authors: Mikhailenko V.S.1, Solodovnik M.S.2
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Affiliations:
- Odessa National Maritime University
- Odessa National Academy of Food Technologies
- Issue: Vol 50, No 1 (2016)
- Pages: 46-53
- Section: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/174348
- DOI: https://doi.org/10.3103/S0146411616010089
- ID: 174348
Cite item
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.
About the authors
V. S. Mikhailenko
Odessa National Maritime University
Author for correspondence.
Email: vlad_mihailenko@mail.ru
Ukraine, ul. Mechnikova 34, Odessa, 65000
M. S. Solodovnik
Odessa National Academy of Food Technologies
Email: vlad_mihailenko@mail.ru
Ukraine, ul. Kanatnaya 112, Odessa, 65039