General Regression Neural Network Application for Dynamic Data Compression and Decompression
AL-Rafidain Journal of Computer Sciences and Mathematics,
2010, Volume 7, Issue 3, Pages 73-80
AbstractIn the last decade have been witnessed a great development in artificial intelligence especially in neural network .This paper have been employed neural networks techniques for data compression and decompression.
The application of General Regression Neural Network (GRNN) in data compression is very important of data transmission, because this technique offers less than memory storage and time for transferring of the data over computer networks or internet. Taking into consideration the data compression provides security of these data.
The matlab version (R2009a ) is used for designing the propose system of neural network (GRNN) to dynamic data compression and decompression .
- Article View: 46
- PDF Download: 44