- 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
Advanced Weighted Digital Learning Networks (AWDLNs) | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 20, Issue 1, 2009, Pages 144-153 | ||
| Author | ||
| Hind S. Ibrahim | ||
| Abstract | ||
| This research introduces the design and implementation of technique which are suitable for enhancing and improving the performance of digital learning networks (n-tuple method). In this research presented a strategy deals with the similarity and difference regions among different classes. This technique detected and privileging the most sensitive features (tuples) of each class. This approach tries to decrease the importance of the features that are class has in common with the others. In this technique we used the number that used by Arabs as a tool for optimization. | ||
|
Statistics Article View: 83 PDF Download: 34 |
||