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

manahil Yusuf · University of Mosul, College of Education for Pure Science · 2010

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Author / responsible party
manahil Yusuf
Publisher
University of Mosul, College of Education for Pure Science
Year
2010
ISSN
1812-125X
ISSN
1812-125X
Language
English
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ABSTRACT<br /> 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.

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APA 7

Yusuf, M. (2010). Comparative study between artificial neural networks ( recognition of printed English numbers). https://doi.org/10.33899/edusj.2010.58252

MLA

Yusuf, manahil. "Comparative study between artificial neural networks ( recognition of printed English numbers)." 2010. https://doi.org/10.33899/edusj.2010.58252.

Chicago

Yusuf, manahil. 2010. "Comparative study between artificial neural networks ( recognition of printed English numbers).". https://doi.org/10.33899/edusj.2010.58252.

Harvard

Yusuf, M. 2010, Comparative study between artificial neural networks ( recognition of printed English numbers), University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2010.58252 [Accessed 7 Aug. 2026].

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Title
Comparative study between artificial neural networks ( recognition of printed English numbers)
Author / contributors
manahil Yusuf
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2010
ISSN
1812-125X
ISSN
1812-125X
Language
English

Subjects

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artificial; neural networks; english numbers
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