Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications

Research on Computer Network Optimization Model Based on Neural Network Algorithm

Authors
Yanhui Wang
Corresponding Author
Yanhui Wang
Available Online August 2015.
DOI
https://doi.org/10.2991/meita-15.2015.38How to use a DOI?
Keywords
Neural network algorithm; Computer network; Modern optimization methods
Abstract

The rapid development of computer networks is urgently need to improve and optimize the overall performance of the network.With the characteristics of large scale parallel processing and distributed information storage, Hopfield neural network has a unique advantage of associative memory and optimization. Optimization model of neural network algorithm-based computer network, it is the combination of the Hopfield neural Network theory and reality computer networks, modern optimization methods.

Copyright
© 2015, 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 2015 International Conference on Materials Engineering and Information Technology Applications
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
978-94-6252-103-2
ISSN
2352-5401
DOI
https://doi.org/10.2991/meita-15.2015.38How to use a DOI?
Copyright
© 2015, 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  - Yanhui Wang
PY  - 2015/08
DA  - 2015/08
TI  - Research on Computer Network Optimization Model Based on Neural Network Algorithm
BT  - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
PB  - Atlantis Press
SP  - 197
EP  - 202
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-15.2015.38
DO  - https://doi.org/10.2991/meita-15.2015.38
ID  - Wang2015/08
ER  -