USING NEURAL NETWORKS IN THE PROCESS OF IMAGE COMPRESSION

Authors

  • O.A. Mohylnyi Cherkasy state technological university
  • B.V. Breus Cherkasy state technological university

DOI:

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

Keywords:

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

Abstract

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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References

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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Published

2023-02-28

How to Cite

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

Issue

No. 25-02 (2023)

Section

Articles

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Copyright (c) 2023 Authors

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This work is licensed under a Creative Commons Attribution 4.0 International License.