Publication detail

Prediction of Network Traffic by Elman Neural Network

ČLUPEK, V. DZURENDA, P.

Original Title

Prediction of Network Traffic by Elman Neural Network

Type

journal article - other

Language

English

Original Abstract

This article deals with the prediction of network traffic by the Elman neural network. The reader finds the results of experimental tests of prediction of network traffic here. The testing of prediction of network traffic was realized on the network traffic, which was caught in the local network. The accuracy of prediction of network traffic by the Elman neural network was tested with use of several types of topology of the Elman neural network. The article describes the solution of System for dynamic allocation of bandwidth. The system is based on the prediction of network traffic by the Elman neural network. The proposed system effectively allocates available bandwidh of output of router between the queues of port.

Keywords

Prediction, network traffic, Elman neural network

Authors

ČLUPEK, V.; DZURENDA, P.

RIV year

2014

Released

20. 4. 2014

ISBN

1213-1539

Periodical

Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)

Year of study

15

Number

3

State

Czech Republic

Pages from

1

Pages to

7

Pages count

7

BibTex

@article{BUT107322,
  author="Vlastimil {Člupek} and Petr {Dzurenda}",
  title="Prediction of Network Traffic by Elman Neural Network",
  journal="Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)",
  year="2014",
  volume="15",
  number="3",
  pages="1--7",
  issn="1213-1539"
}