Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

Network performance evaluation algorithm based on BP neural network

Authors
Qi Liu, Xiyue Wang, Yiyong Lin, Ling He, Yunzhi Huang
Corresponding Author
Qi Liu
Available Online June 2016.
DOI
10.2991/mmebc-16.2016.466How to use a DOI?
Keywords
Net performance evaluation BP neural network Cross validation
Abstract

In this paper, a network performance evaluation algorithm is proposed based on BP neural network. This system collects 8 network parameters in a local area network, and classifies the performance of network into three states: excellent, good and unqualified. Verification and analysis results show that the accuracy of the proposed network performance evaluation algorithm reaches up to 90% by K-fold cross validation test. The experiments indicate that this proposed algorithm is robust and effective. Moreover, the calculation time of this system is less than 1ms. It could be effectively applied for a real-time network performance evaluation.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-210-7
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.466How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qi Liu
AU  - Xiyue Wang
AU  - Yiyong Lin
AU  - Ling He
AU  - Yunzhi Huang
PY  - 2016/06
DA  - 2016/06
TI  - Network performance evaluation algorithm based on BP neural network
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 2314
EP  - 2317
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.466
DO  - 10.2991/mmebc-16.2016.466
ID  - Liu2016/06
ER  -