Analysis of the adaptive neural network router
- 作者: Mikhailenko V.S.1, Solodovnik M.S.2
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隶属关系:
- Odessa National Maritime University
- Odessa National Academy of Food Technologies
- 期: 卷 50, 编号 1 (2016)
- 页面: 46-53
- 栏目: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/174348
- DOI: https://doi.org/10.3103/S0146411616010089
- ID: 174348
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详细
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.
作者简介
V. Mikhailenko
Odessa National Maritime University
编辑信件的主要联系方式.
Email: vlad_mihailenko@mail.ru
乌克兰, ul. Mechnikova 34, Odessa, 65000
M. Solodovnik
Odessa National Academy of Food Technologies
Email: vlad_mihailenko@mail.ru
乌克兰, ul. Kanatnaya 112, Odessa, 65039
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