Improvement the Back-propagation Technique | Zendy

Nidhal Al-Assady | Zendy; Baydaa Khaleel | Zendy; Shahbaa Khaleel | Zendy

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Improvement the Back-propagation Technique

Author(s) -

Nidhal Al-Assady,

Baydaa Khaleel,

Shahbaa Khaleel

Publication year - 2004

Publication title -

maǧallaẗ al-rāfidayn li-ʿulūm al-ḥāsibāt wa-al-riyāḍiyyāẗ/al-rafidain journal for computer sciences and mathematics

Language(s) - English

Resource type - Journals

eISSN - 2311-7990

pISSN - 1815-4816

DOI - 10.33899/csmj.2004.164115

Subject(s) - backpropagation , computer science , artificial neural network , rprop , encoding (memory) , feedforward neural network , algorithm , time delay neural network , feed forward , speedup , data compression , artificial intelligence , pattern recognition (psychology) , types of artificial neural networks , engineering , control engineering , operating system

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.

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