Using the Backpropagation Algorithm to Distinguish Arabic Alphabet

In this research, a study of the Arabic alphabet used a multi-layered neural network, which is the backpropagation error. Using the algorithm through the Losing activation function to train the network. The hidden numbers of nodes are 10, the number of cycles is 500, and the error is 0.001, using t...

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Bibliographic Details
Published in:	Zanco Journal of Humanity Sciences
Main Author:	Samyia Khalid Hasan
Format:	Article
Language:	Arabic
Published:	Salahaddin University-Erbil 2024-02-01
Subjects:	networks neural artificial, back propagation algorithm, weights, input and output.
Online Access:	https://zancojournal.su.edu.krd/index.php/JAHS/article/view/1463

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