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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Babenko, M. G. | - |
| dc.contributor.author | Бабенко, М. Г. | - |
| dc.contributor.author | Strashkova, O. K. | - |
| dc.contributor.author | Страшкова, О. К. | - |
| dc.contributor.author | Babenko, I. A. | - |
| dc.contributor.author | Бабенко, И. А. | - |
| dc.date.accessioned | 2018-06-08T12:00:17Z | - |
| dc.date.available | 2018-06-08T12:00:17Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Babenko, M.G., Strashkova, O.K., Babenko, I.A. Development of the neural network method for analyzing the literary text from the point of view of genre identification // Proceedings of the 2017 International Conference "Quality Management, Transport and Information Security, Information Technologies", IT and QM and IS 2017. - 2017. - статья № 8085789. - pp. 162-165. | ru |
| dc.identifier.uri | https://www.scopus.com/record/display.uri?eid=2-s2.0-85040117566&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=d5d8a0d301244722be90437f5b553481&sot=afnl&sdt=cl&cluster=scopubyr%2c%222017%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=16&citeCnt=0&searchTerm= | - |
| dc.identifier.uri | https://dspace.ncfu.ru:443/handle/20.500.12258/536 | - |
| dc.description.abstract | The article studies the issue of identification of literary texts with artificial neural networks. We showed that artificial neural networks for solving the problem of classifying literary texts makes it possible to obtain a true result for determining the category of a text with a probability of 95%. However, determining the genre of a literary text is more difficult and in the worst case it is possible only with a probability of 75% | ru |
| dc.language.iso | en | ru |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | ru |
| dc.relation.ispartofseries | Proceedings of the 2017 International Conference "Quality Management, Transport and Information Security, Information Technologies", IT and QM and IS 2017 | - |
| dc.subject | Category | ru |
| dc.subject | Genre | ru |
| dc.subject | Neural networks | ru |
| dc.subject | Semantic analysis | ru |
| dc.title | Development of the neural network method for analyzing the literary text from the point of view of genre identification | ru |
| dc.type | Статья | ru |
| vkr.amount | Pages 162-165 | ru |
| vkr.inst | Институт математики и естественных наук | - |
| vkr.inst | Гуманитарный институт | - |
| Appears in Collections: | Статьи, проиндексированные в SCOPUS, WOS | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| scopusresults (80).pdf Restricted Access | 63.76 kB | Adobe PDF | View/Open | |
| WoS 48 .pdf Restricted Access | 80.34 kB | Adobe PDF | View/Open |
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