Application of Data Compression and Decompression Based on Artificial Neural Network and Collaborative Computer Network
Li Dong, Binpeng Qu, Meng Zhang, Jing Yu
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.62How to use a DOI?
- Artificial neural network; Collaborative computer; Data compression
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/amcce-15.2015.62 ID - Dong2015/04 ER -