- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
ENCODING ARABIC NUMBERS USING GENRAL REGRESSION NEURAL NETWORK | ||
| IRAQI JOURNAL OF STATISTICAL SCIENCES | ||
| Article 49, Volume 13, Issue 3, 2013, Pages 537-547 PDF (0 K) | ||
| DOI: 10.33899/iqjoss.2013.081284 | ||
| Abstract | ||
| The research aims to find ways computerized to encode Arabic numbers by the English alphabet , and merges the simple methods with the old ideas and modern techniques to get the encoding process consistent with the intrusion techniques on the information stored or traded via networking site. Search sought to recruit the properties of Arabic numbers and the Vegener table to train artificial neural network on the encoding process. Several artificial neural networks was build using the possibilities available in the (MATLAB R2012b) program to process the encoding for saving time and effort when conducting these operations by conventional ways, neural networks have shown the ability and high portability on the implementation of the encoding process after passing a series of steps. | ||
|
Statistics Article View: 297 PDF Download: 235 |
||