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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| Main Author: | |
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| Format: | Article |
| Language: | Arabic |
| Published: |
Salahaddin University-Erbil
2024-02-01
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| Series: | Zanco Journal of Humanity Sciences |
| Subjects: | |
| Online Access: | https://zancojournal.su.edu.krd/index.php/JAHS/article/view/1463 |
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