Zobrazeno 1 - 10 of 35 pro vyhledávání: '"A N Averkin"'
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Akademický článek
HYBRID MODULAR NEURAL NETWORKS
Autor: Alexey N. Averkin
Publikováno v: Статистика и экономика, Vol 0, Iss 4, Pp 8-11 (2016)
In this paper considered hybrid neural networks for time series forecasting and methods based on fuzzy models, such as ANFIS models and we also suggest a hybrid neural network model based on modular neural networks.
Externí odkaz: https://doaj.org/article/fb16c519ef9e4255b2b46cbc05a01095
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4
The Development of Models and Algorithms for Unmanned Control of Agricultural Machinery Using Virtual and Augmented Reality Technologies
Autor: V. A. Dorokhin, M. V. Lishilin, L. N. Teryaev, A. N. Averkin
Publikováno v: Vestnik Tambovskogo gosudarstvennogo tehnicheskogo universiteta. 26:581-597
The article is devoted to the development of models and algorithms for creating a software and hardware complex for automatic unmanned control of agricultural machinery. A three-dimensional model of the test area in the virtual reality format, a set
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bc02118c185b9ad5c3535620f22635db
https://doi.org/10.17277/vestnik.2020.04.pp.581-597
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9
Deep silicon plasma etching: selection of processes for different applications
Autor: Konstantin V. Rudenko, Sergey N. Averkin, Vladimir F. Lukichev, Andrey V. Miakonkikh
Publikováno v: International Conference on Micro- and Nano-Electronics 2018.
Present paper overviews existent and newly developed DSE technologies offering optimal choice for specific demands. Under consideration there are four types of deep silicon etching processes: cyclic original Bosch process and modified one, continuous
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b8178f6d0099c4ae01ab5b1089fcf80
https://doi.org/10.1117/12.2522505
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10
Possibilities of deep learning neural networks for satellite image recognition
Autor: S A Yarushev, A N Averkin
Publikováno v: Journal of Physics: Conference Series. 1703:012031
The main problem solved in this project is the analysis of big data using a system of computer processing and recognition of satellite images, based on a deep neural network architecture. The goal of the project is to develop methodological, theoreti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::535d9e11e69493dfebb20cf600c2cde4
https://doi.org/10.1088/1742-6596/1703/1/012031
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