Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Syryamkin, Vladimir I."'
1
High-performance adaptive neurofuzzy classifier with a parametric tuning
Autor: Sergey Gorbachev, Syryamkin Vladimir I
Publikováno v: MATEC Web of conferences. 2018. Vol. 155. P. 01037 (1-7)
MATEC Web of Conferences, Vol 155, p 01037 (2018)
The article is devoted to research and development of adaptive algorithms for neuro-fuzzy inference when solving multicriteria problems connected with analysis of expert (foresight) data to identify technological breakthroughs and strategic perspecti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5755b1d2eb2568c8d27853aaf5984837
http://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000626140
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2
Openness of Natural Information Processing Systems and Short-Term and Long-Term Memory
Autor: Vladimir Shumilov, Syryamkin Vladimir I
Publikováno v: MATEC Web of Conferences, Vol 155, p 01026 (2018)
MATEC Web of conferences. 2018. Vol. 155. P. 01026 (1-10)
In this paper, various types of memory are considered.Development of the nervous system and the brain of organisms ensures expansion of species with more developed brain. Different characteristics of the brain zones have created different conditions
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::036665822072fe65e8635ac97eee7b4e
https://doaj.org/article/e2b2a7c309f14f468fc9bebcc150a80a
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3
Cognitive Neural Network Foresight to Forecast Scientific and Technological Development of the State
Autor: Maksim Syryamkin, Elena Vaganova, Syryamkin Vladimir I, Sergey Gorbachev
Publikováno v: Procedia - Social and Behavioral Sciences. 206:378-382
In the paper, we focus on the possibilities of neural network approach to assess the potential of Russia in achieving indicators of the sixth wave of innovation. The purpose of this study is to develop evolutionary algorithms and tools for neurofuzzy
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::856a389014d9ce10d9a8b41b6c50ef4e
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7
Cognitive methodology for forecasting oil and gas industry using pattern-based neural information technologies
Autor: O Gafurov, D Gafurov, Syryamkin Vladimir I
Publikováno v: IOP Conference Series: Materials Science and Engineering. 363:012008
The paper analyses a field of computer science formed at the intersection of such areas of natural science as artificial intelligence, mathematical statistics, and database theory, which is referred to as "Data Mining" (discovery of knowledge in data
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::119d0b1f4e48d11eca07864c21a8c8f2
https://doi.org/10.1088/1757-899x/363/1/012008
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8
Cognitive neural network modeling of the trajectory of global technical and economic development
Autor: Syryamkin Vladimir I, Sergey Gorbachev
Publikováno v: 2015 International Conference on Cognitive Computing and Information Processing(CCIP).
The article considers the problem of measuring the level and rate of technical and economic development of countries in terms of technological change. Advantages of cognitive neural network approach to monitoring and quality analysis for integrating
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f0e7d0725fdfa7dfd23b2056a66f0594
https://doi.org/10.1109/ccip.2015.7100697
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9
Technology management as a tool of innovative strategy of education and cognitive management
Autor: Syryamkin Vladimir I, E.G. Syryamkina
Publikováno v: Procedia-Social and Behavioral Sciences. 2015. Vol. 166. P. 468-471
The paper studies the use of technology management for advanced innovative personnel training for effective scientific, technological, economic and social development of countries, describing cognitive strategies in the sixth and seventh technologica
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bc26921a7c57fd7123035d368e82c8b
http://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000578396
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