Zobrazeno 1 - 10 of 11 pro vyhledávání: '"S. V. Bukharin"'
1
Accounting technique of the three-component indicator of the financial situation type in the analysis of the food industry enterprises capital structure
Autor: A. I. Horev, S. V. Bukharin, V. N. Ponomareva
Publikováno v: Vestnik Voronežskogo Gosudarstvennogo Universiteta Inženernyh Tehnologij, Vol 80, Iss 4, Pp 388-397 (2019)
Among the existing characteristics of a financial condition of the enterprise a specific place is held by a three-component financial situation indicator (degree of a covering of stocks by own sources) which considers some arti-cles of balance which
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d81b0c4180b7bc7b4009372770811690
https://www.vestnik-vsuet.ru/vguit/article/view/2045
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2
Comparison of estimates of a financial condition of the enterprises by methods of Biver’s indicators and scoring analysis
Autor: S. V. Bukharin, V. V. Paraskevich, A. I. Khorev
Publikováno v: Vestnik Voronežskogo Gosudarstvennogo Universiteta Inženernyh Tehnologij, Vol 80, Iss 1, Pp 261-266 (2018)
Among foreign methods of assessment of degree of proximity to bankruptcy the method of system of Biver indicators and the scoring analysis are the most popular. The financial coefficients counted for the concrete enterprise often contradict each othe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::499b03bf27837fea3489c56058e284bf
https://www.vestnik-vsuet.ru/vguit/article/view/1738
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3
Generalized indicator and classification structures of the capital of the industrial enterprises
Autor: A. I. Khorev, E. I. Myanovskaya, S. V. Bukharin, V. V. Dudchak
Publikováno v: Vestnik Voronežskogo Gosudarstvennogo Universiteta Inženernyh Tehnologij, Vol 79, Iss 4, Pp 267-273 (2018)
One of key questions of support of the enterprise economic safety is assessment of a level of closeness to bankruptcy. There are several known methods of such assessment among which the method of the scoring analysis considering the principles of cre
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fecb4f0dee7d48701fff1e5c23f9284d
https://www.vestnik-vsuet.ru/vguit/article/view/1616
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4
Generalized indicator and classification structures of the capital of the industrial enterprises
Autor: A. I. Horev, I. I. Barkalova, S. V. Bukharin
Publikováno v: Vestnik Voronežskogo Gosudarstvennogo Universiteta Inženernyh Tehnologij, Vol 79, Iss 3, Pp 187-193 (2017)
This article examines the problem of assessing the financial stability of an enterprise. The financial status of the enterprise is characterized by a set of financial indicators, and the most widespread method of the analysis of these indices is the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd8b6cc2a464830c24999f9907165e9a
https://www.vestnik-vsuet.ru/vguit/article/view/1580
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6
Method of immersion of a problem of comparison financial conditions of the enterprises in an expert cover in a class algorithms of artificial intelligence
Autor: S. V. Bukharin, O. S. Molochayeva, A. I. Khorev
Publikováno v: Vestnik Voronežskogo Gosudarstvennogo Universiteta Inženernyh Tehnologij, Vol 0, Iss 2, Pp 404-409 (2016)
The financial condition of the enterprise can be estimated by a set of characteristics (solvency and liquidity, structure of the capital, profitability, etc.). The part of financial coefficients is low-informative, and other part contains the interco
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26c6084a1850feacd3189c0978ed1160
https://www.vestnik-vsuet.ru/vguit/article/view/971
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7
METHOD OF GROUP ADAPTATION WITH FIXING OF BIASES OF NEURONS (AFBN) FOR FORECASTING OF INDICATORS OF QUALITY OF VOLUME ANNOUNCERS
Autor: S. V. Bukharin, A. V. Mel’nikov, V. V. Navoev
Publikováno v: Vestnik Voronežskogo Gosudarstvennogo Universiteta Inženernyh Tehnologij, Vol 0, Iss 1, Pp 116-121 (2015)
Neural modeling often doesn't guarantee performance of the principle of a community – the neural model trained on one data set can be not adequate when giving on its entrance of data from other set. Therefore when using neural modeling procedure of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doajarticles::d924042c475eb60bacbecc474cc39958
https://www.vestnik-vsuet.ru/vguit/article/view/274
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8
Principal component analysis using self-organized neural network
Autor: A. V. Melnikov, S. V. Bukharin, V. V. Navoev, V. V. Menshikh
Publikováno v: 2017 2nd International Ural Conference on Measurements (UralCon).
The method principal component (PCA) allows to allocate from a matrix of these several objects with a large amount of signs only 1–3 vectors containing 90–95% of information. Usually measuring problem of assessment of these main components is sol
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5d86d39128a14a9b2102043c67b1349f
https://doi.org/10.1109/uralcon.2017.8120716
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