USING NEURAL NETWORKS IN THE PROCESS OF IMAGE COMPRESSION

Автор(и)

  • О.А. Могильний Cherkasy state technological university
  • Б.В. Бреус Cherkasy state technological university

DOI:

https://doi.org/10.30890/2567-5273.2023-25-02-019

Ключові слова:

visual information, neural networks, image compression, neural network training, algorithm

Анотація

The main attribute of neural networks is determining relationships among different parameters of information, which allows providing it more densely through the detection and rejection of unnecessary information (lossless compression) or through rejectio

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Посилання

Duke V.A. Data Mining - data mining // Information technologies: website. – URL: http://www.inftech.webservis.ru/it/database/datamining/ar2.html

Xianjun Ni Research of Data Mining Based on Neural Networks // World Academy of Science, Engineering and Technology. - 2008. - No. 39. - P. 381-384.

Xu R. and Wunsch D. II. Survey of Clustering Algorithms. IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 16, NO. 3, MAY 2005, pp. 645ñ678.

Mandel I.D. cluster analysis. Moscow: Finance and Statistics, 1988. No176 p.

Starikov A. Practical application of neural networks for classification (clustering) problems, http://www.basegroup.ru/neural/practice.htm, January 2000.

Olefir A.O. Neural network model of data compression– International conference "Intellectual analysis of information". – Kyiv: Prosvita, 2015 – pp. 152 – 157.

Modern engineering and innovative technologies

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Опубліковано

2023-02-28

Як цитувати

Могильний, О., & Бреус, Б. (2023). USING NEURAL NETWORKS IN THE PROCESS OF IMAGE COMPRESSION. Modern Engineering and Innovative Technologies, 2(25-02), 54–57. https://doi.org/10.30890/2567-5273.2023-25-02-019

Номер

№ 25-02 (2023)

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Авторське право (c) 2023 Автори

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Ця робота ліцензується відповідно до Creative Commons Attribution 4.0 International License.