Neural network analysis for image classification

The article considers the possibility of modeling artificial neural networks using the mathematical apparatus of information theory. The issues of pattern recognition, classification and clustering of images using neural networks are represented by two main architectures: a direct distribution netwo...

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Hauptverfasser:	Vershkov, N. A., Вершков, Н. А., Babenko, M. G., Бабенко, М. Г., Kuchukov, V. A., Кучуков, В. А., Kuchukova, N. N., Кучукова, Н. Н.
Format:	Статья
Sprache:	English
Veröffentlicht:	Springer Science and Business Media Deutschland GmbH 2022
Schlagworte:	Convolutional neural networks Neural networks Sub-band coding Sub-band filtering Wave model
Online Zugang:	https://dspace.ncfu.ru/handle/20.500.12258/19612
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spelling	ir-20.500.12258-196122022-05-26T07:16:11Z Neural network analysis for image classification Vershkov, N. A. Вершков, Н. А. Babenko, M. G. Бабенко, М. Г. Kuchukov, V. A. Кучуков, В. А. Kuchukova, N. N. Кучукова, Н. Н. Convolutional neural networks Neural networks Sub-band coding Sub-band filtering Wave model The article considers the possibility of modeling artificial neural networks using the mathematical apparatus of information theory. The issues of pattern recognition, classification and clustering of images using neural networks are represented by two main architectures: a direct distribution network and convolutional networks. The possibility of using orthogonal transformations to increase the efficiency of neural networks, the use of wavelet transformations in convolutional networks is investigated. Based on the theoretical studies carried out, the directions on practical application of the obtained results are proposed. 2022-05-26T07:15:06Z 2022-05-26T07:15:06Z 2022 Статья Vershkov N. A., Babenko M. G., Kuchukov V. A., Kuchukova N. N. Neural network analysis for image classification // Lecture Notes in Networks and Systems. - 2022. - Том 424. - Стр.: 455 - 466. - DOI10.1007/978-3-030-97020-8_41 http://hdl.handle.net/20.500.12258/19612 en Lecture Notes in Networks and Systems application/pdf Springer Science and Business Media Deutschland GmbH
institution	СКФУ
collection	Репозиторий
language	English
topic	Convolutional neural networks Neural networks Sub-band coding Sub-band filtering Wave model
spellingShingle	Convolutional neural networks Neural networks Sub-band coding Sub-band filtering Wave model Vershkov, N. A. Вершков, Н. А. Babenko, M. G. Бабенко, М. Г. Kuchukov, V. A. Кучуков, В. А. Kuchukova, N. N. Кучукова, Н. Н. Neural network analysis for image classification
description	The article considers the possibility of modeling artificial neural networks using the mathematical apparatus of information theory. The issues of pattern recognition, classification and clustering of images using neural networks are represented by two main architectures: a direct distribution network and convolutional networks. The possibility of using orthogonal transformations to increase the efficiency of neural networks, the use of wavelet transformations in convolutional networks is investigated. Based on the theoretical studies carried out, the directions on practical application of the obtained results are proposed.
format	Статья
author	Vershkov, N. A. Вершков, Н. А. Babenko, M. G. Бабенко, М. Г. Kuchukov, V. A. Кучуков, В. А. Kuchukova, N. N. Кучукова, Н. Н.
author_facet	Vershkov, N. A. Вершков, Н. А. Babenko, M. G. Бабенко, М. Г. Kuchukov, V. A. Кучуков, В. А. Kuchukova, N. N. Кучукова, Н. Н.
author_sort	Vershkov, N. A.
title	Neural network analysis for image classification
title_short	Neural network analysis for image classification
title_full	Neural network analysis for image classification
title_fullStr	Neural network analysis for image classification
title_full_unstemmed	Neural network analysis for image classification
title_sort	neural network analysis for image classification
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2022
url	https://dspace.ncfu.ru/handle/20.500.12258/19612
work_keys_str_mv	AT vershkovna neuralnetworkanalysisforimageclassification AT verškovna neuralnetworkanalysisforimageclassification AT babenkomg neuralnetworkanalysisforimageclassification AT babenkomg neuralnetworkanalysisforimageclassification AT kuchukovva neuralnetworkanalysisforimageclassification AT kučukovva neuralnetworkanalysisforimageclassification AT kuchukovann neuralnetworkanalysisforimageclassification AT kučukovann neuralnetworkanalysisforimageclassification
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Neural network analysis for image classification

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