Kulik Sergey Dmitrievich (Doctor of Technical Sciences, assistant professor, National Research Nuclear University MEPHI (Moscow Engineering Physics Institute))
Shtanko Alexander Nikolaevich (Postgraduate Student, National Research Nuclear University MEPHI (Moscow Engineering Physics Institute))
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This article deals with the analysis of programs in the description of which convolutional neural networks are mentioned. Only programs protected by titles of protection of the Russian Federation were analyzed. The search was carried out among more than 140 thousand documents. A total of 227 programs and one database were found and reviewed. The areas of application of the found programs were identified. Particular attention in the search and analysis was paid to recognition for forensics (security elements of documents) and for medicine (psoriasis and PUVA therapy). The results obtained can be used by developers of neural network algorithms for automated factographic information systems.
Keywords:system analysis, computer program, convolutional neural networks, intellectual property item.
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Citation link:
Kulik S. D., Shtanko A. N. Elements of system analysis of programs using convolutional neural networks // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№06. -С. 98-105 DOI 10.37882/2223-2966.2022.06.24 |
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