DEFINITION AND PRIMARY IMAGE ANALYSIS WITH NEURAL NETWORKS

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Iskandarova S. N.
Махкамова D. А.

Abstract

Traditional image annotation techniques are time-consuming and requiring lots of human effort. It is also easier to retrieve images according to their annotations. In this paper we propose Neural Network based a novel approach to the problem of image annotation. These approaches are applied to the Image data set. Our main work is focused  on the  image annotation by using multilayer perceptron, which exhibits a clear-cut idea on application of one layer perceptron with special features

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How to Cite
Iskandarova S. N., & Махкамова D. А. (2022). DEFINITION AND PRIMARY IMAGE ANALYSIS WITH NEURAL NETWORKS. Galaxy International Interdisciplinary Research Journal, 10(2), 583–588. Retrieved from https://giirj.com/index.php/giirj/article/view/1330
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References

Круг П.Г. Нейронные сети и нейрокомпьютеры: Учебное пособие по курсу «Микропроцессоры». – М.: Издательство МЭИ, 2002. – 176 с.

Iskandarova S.N. Sunniy neyron to’rlari yordamida tanib olish algoritmlari//Фарғона политехника иститути илмий-техника журнали. –Фарғона, 2018. – №3. – С. 122-127 (05.00.00; №20).

Iskandarova S.N. To recognize the manuscript texts of Arabic letters in ancient Uzbek script//World scientific news an international scientific journal. –Polsha, 2019. Vol.115. –P.160-173 (№12; Index Copernicus; IF=98,95)

Барский А.Б. Обучение нейросети методом трассировки//Труды VIII

Всеросс. конф. «Нейрокомпьютеры и их применение», 2002.