Scientific and Technical Journal


ISSN Print 2221-3937
ISSN Online 2221-3805

The paper presents an analysis of the use of the intellectual approach to routing of computer networks. For a comparative analysis, we consider the classical approach based on graph theory, matrix algorithm for finding the shortest path from node to node and intellectual apparatus neuro-fuzzy networks. Advantages of predictive approach were shown by package MatLab, when we calculated the extrapolation of numerical values of the time delay between the network nodes. We noticed a complete similarity of the result obtained by the neural network, with the corresponding value in the table statistics of system administrator. The ability to predict the delay of the transmitted packets will allow the router to adapt to the expected changes in the parameters of the computer network and thereby enhance its performance when selecting an alternative route. Using this approach will allow to efficiently manage of data streams, considering variable load and variable topology of the network.

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