Integration Method with Backpropagation
In this research, a new method is discovered (combined method) to accelerate the backpropagation network by using the expected values of source units for updating weights, we mean the expected value of unit by the sum of the output of the unit and its error term multiplied by the factor Beta to acce...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Mosul University
2005-06-01
|
| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.mosuljournals.com/article_164073_b16b9f83822068ce0f9a43cf233c6846.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849727774169759744 |
|---|---|
| author | Nidhal AL-Assady Jamal Majeed Shahbaa Khaleel |
| author_facet | Nidhal AL-Assady Jamal Majeed Shahbaa Khaleel |
| author_sort | Nidhal AL-Assady |
| collection | DOAJ |
| description | In this research, a new method is discovered (combined method) to accelerate the backpropagation network by using the expected values of source units for updating weights, we mean the expected value of unit by the sum of the output of the unit and its error term multiplied by the factor Beta to accelerate the algorithm and also adjust the value of learning coefficient continuously if the value of energy function E decreases the learning rate is increased by a factor , if the value of the energy function E increases , the value of the learning rate is decreased by a factor . To obtain the optimal weight with minimum iteration and minimum time, we applied a new method on many applications to prove the result of this method (pattern compression, encoding and recognition on Arabic, English digits and alphabetic. |
| format | Article |
| id | doaj-art-bc4ba41c3a164d07a3e0732130f0a65b |
| institution | DOAJ |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2005-06-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-bc4ba41c3a164d07a3e0732130f0a65b2025-08-20T03:09:45ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902005-06-0121496810.33899/csmj.2005.164073164073Integration Method with BackpropagationNidhal AL-Assady0Jamal Majeed1Shahbaa Khaleel2College of Computer Sciences and Mathematics University of Mosul, IraqCollege of Computer Sciences and Mathematics University of Mosul, IraqCollege of Computer Sciences and Mathematics University of MosulIn this research, a new method is discovered (combined method) to accelerate the backpropagation network by using the expected values of source units for updating weights, we mean the expected value of unit by the sum of the output of the unit and its error term multiplied by the factor Beta to accelerate the algorithm and also adjust the value of learning coefficient continuously if the value of energy function E decreases the learning rate is increased by a factor , if the value of the energy function E increases , the value of the learning rate is decreased by a factor . To obtain the optimal weight with minimum iteration and minimum time, we applied a new method on many applications to prove the result of this method (pattern compression, encoding and recognition on Arabic, English digits and alphabetic.https://csmj.mosuljournals.com/article_164073_b16b9f83822068ce0f9a43cf233c6846.pdfbackpropagationartificial neural networks |
| spellingShingle | Nidhal AL-Assady Jamal Majeed Shahbaa Khaleel Integration Method with Backpropagation Al-Rafidain Journal of Computer Sciences and Mathematics backpropagation artificial neural networks |
| title | Integration Method with Backpropagation |
| title_full | Integration Method with Backpropagation |
| title_fullStr | Integration Method with Backpropagation |
| title_full_unstemmed | Integration Method with Backpropagation |
| title_short | Integration Method with Backpropagation |
| title_sort | integration method with backpropagation |
| topic | backpropagation artificial neural networks |
| url | https://csmj.mosuljournals.com/article_164073_b16b9f83822068ce0f9a43cf233c6846.pdf |
| work_keys_str_mv | AT nidhalalassady integrationmethodwithbackpropagation AT jamalmajeed integrationmethodwithbackpropagation AT shahbaakhaleel integrationmethodwithbackpropagation |