Application of Data Compression and Decompression Based on Artificial Neural Network and Collaborative Computer Network

DOI

10.2991/amcce-15.2015.62How to use a DOI?

Keywords

Artificial neural network; Collaborative computer; Data compression

Abstract

Before data transmission, in order to improve the utilization ratio of transmission channel, there is need to compress the transmitted data. Before data storage, in order to save storage space, there is need to compress the stored data. There are many methods for data compression and decompression, but the existing methods may be not effective for some particular applications. Therefore, for the special applications, special compression and decompression methods should be applied, which means to combine neural network and collaboration cognitive model. When finite multi-dimensional data needs to transmit with long distance or store data for a long time, the method combining neural network and collaborative computer should be applied to implement compression and decompression of finite multi-dimensional data.

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/).

Download article (PDF)

TY  - CONF
AU  - Li Dong
AU  - Binpeng Qu
AU  - Meng Zhang
AU  - Jing Yu
PY  - 2015/04
DA  - 2015/04
TI  - Application of Data Compression and Decompression Based on Artificial Neural Network and Collaborative Computer Network
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 329
EP  - 332
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.62
DO  - 10.2991/amcce-15.2015.62
ID  - Dong2015/04
ER  -