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Comparative study between artificial neural networks ( recognition of printed English numbers)

    manahil Abdul Karim Yusuf

Journal of Education and Science, 2010, Volume 23, Issue 2, Pages 73-90
10.33899/edusj.2010.58252

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Abstract

ABSTRACT
This study is aimed to make a comparison between three artificial neural networks, these networks differ from each other in architecture and the method of adaptive the weights. In this research four ANN are used to recognized English number, these ANN are Adaline, Backpropagation, Hopfield, and Kohen ANN. By doing the comparison, we found that, the ability of a network differentiation does not depend on the complexity of the network architecture, the training algorithm or the number of layers, but it depends on the learning rule and increase in the number of the patterns that are used to train the network.
Keywords:
    artificial neural networks English numbers
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(2010). Comparative study between artificial neural networks ( recognition of printed English numbers). Journal of Education and Science, 23(2), 73-90. doi: 10.33899/edusj.2010.58252
manahil Abdul Karim Yusuf. "Comparative study between artificial neural networks ( recognition of printed English numbers)". Journal of Education and Science, 23, 2, 2010, 73-90. doi: 10.33899/edusj.2010.58252
(2010). 'Comparative study between artificial neural networks ( recognition of printed English numbers)', Journal of Education and Science, 23(2), pp. 73-90. doi: 10.33899/edusj.2010.58252
Comparative study between artificial neural networks ( recognition of printed English numbers). Journal of Education and Science, 2010; 23(2): 73-90. doi: 10.33899/edusj.2010.58252
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