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DC Field | Value | Language |
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dc.contributor.author | Vershkov, N. A. | - |
dc.contributor.author | Вершков, Н. А. | - |
dc.contributor.author | Babenko, M. G. | - |
dc.contributor.author | Бабенко, М. Г. | - |
dc.contributor.author | Kuchukov, V. A. | - |
dc.contributor.author | Кучуков, В. А. | - |
dc.contributor.author | Kuchukova, N. N. | - |
dc.contributor.author | Кучукова, Н. Н. | - |
dc.date.accessioned | 2022-05-26T07:15:06Z | - |
dc.date.available | 2022-05-26T07:15:06Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | 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 | ru |
dc.identifier.uri | http://hdl.handle.net/20.500.12258/19612 | - |
dc.description.abstract | 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. | ru |
dc.language.iso | en | ru |
dc.publisher | Springer Science and Business Media Deutschland GmbH | ru |
dc.relation.ispartofseries | Lecture Notes in Networks and Systems | - |
dc.subject | Convolutional neural networks | ru |
dc.subject | Neural networks | ru |
dc.subject | Sub-band coding | ru |
dc.subject | Sub-band filtering | ru |
dc.subject | Wave model | ru |
dc.title | Neural network analysis for image classification | ru |
dc.type | Статья | ru |
vkr.inst | Факультет математики и компьютерных наук имени профессора Н.И. Червякова | ru |
vkr.inst | Северо-Кавказский центр математических исследований | ru |
Appears in Collections: | Статьи, проиндексированные в SCOPUS, WOS |
Files in This Item:
File | Size | Format | |
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scopusresults 2180 .pdf Restricted Access | 63.62 kB | Adobe PDF | View/Open |
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