Improvement the Back-propagation Technique | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 9, Volume 1, Issue 2, December 2004, Pages 127-151 PDF (540.64 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2004.164115 | ||
| Authors | ||
| Nidhal H. AL-Assady1; Baydaa I. Khaleel1; Shahbaa I. Khaleel2 | ||
| 1Dept. of Computer Science College of Computer Sciences and Mathematics University of Mosul, Iraq | ||
| 2College of Computer Sciences and Mathematics University of Mosul | ||
| Abstract | ||
| Error backpropagation neural network (EBP) used training algorithm for feedforward artificial neural networks (FFANNs). The main problem with the EBP algorithm that it is very slow and the converge to the optimal solution is not guaranteed. This problem leads to search for improvements to speed up this algorithm. In this research we use several methods to speed up the EBP algorithm. A many layer neural network was designed for building pattern compression system, encoding and recognition. We also used many methods to speed up this algorithm (EBP) and comparison between them. | ||
| Keywords | ||
| artificial neural networks; BACKPROPAGATION; image recognition; pattern compression | ||
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