Improvement the Back-propagation Technique
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...
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| Format: | Article |
| Language: | English |
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Mosul University
2004-12-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.mosuljournals.com/article_164115_06b1b3bba286b36777e7a68c4cab741d.pdf |
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| _version_ | 1850145319730282496 |
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| author | Nidhal AL-Assady Baydaa Khaleel Shahbaa Khaleel |
| author_facet | Nidhal AL-Assady Baydaa Khaleel Shahbaa Khaleel |
| author_sort | Nidhal AL-Assady |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-98fd18ca95ed4a579728e7184de01807 |
| institution | OA Journals |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2004-12-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-98fd18ca95ed4a579728e7184de018072025-08-20T02:28:08ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902004-12-011212715110.33899/csmj.2004.164115164115Improvement the Back-propagation TechniqueNidhal AL-Assady0Baydaa Khaleel1Shahbaa Khaleel2Dept. of Computer Science College of Computer Sciences and Mathematics University of Mosul, IraqDept. of Computer Science College of Computer Sciences and Mathematics University of Mosul, IraqCollege of Computer Sciences and Mathematics University of MosulError 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.https://csmj.mosuljournals.com/article_164115_06b1b3bba286b36777e7a68c4cab741d.pdfartificial neural networksbackpropagationimage recognitionpattern compression |
| spellingShingle | Nidhal AL-Assady Baydaa Khaleel Shahbaa Khaleel Improvement the Back-propagation Technique Al-Rafidain Journal of Computer Sciences and Mathematics artificial neural networks backpropagation image recognition pattern compression |
| title | Improvement the Back-propagation Technique |
| title_full | Improvement the Back-propagation Technique |
| title_fullStr | Improvement the Back-propagation Technique |
| title_full_unstemmed | Improvement the Back-propagation Technique |
| title_short | Improvement the Back-propagation Technique |
| title_sort | improvement the back propagation technique |
| topic | artificial neural networks backpropagation image recognition pattern compression |
| url | https://csmj.mosuljournals.com/article_164115_06b1b3bba286b36777e7a68c4cab741d.pdf |
| work_keys_str_mv | AT nidhalalassady improvementthebackpropagationtechnique AT baydaakhaleel improvementthebackpropagationtechnique AT shahbaakhaleel improvementthebackpropagationtechnique |