Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Leonid Slavutskii"'
Publikováno v:
Vestnik Chuvashskogo universiteta. :5-11
The paper is devoted to the use of an artificial neural network (ANN) of direct propagation (multilayer perceptron) for signal processing in electrical engineering and electric power industry. It is proposed to use such simple neural networks instead
Autor:
Elena Slavutskaya, Leonid Slavutskii
Publikováno v:
Vestnik Chuvashskogo universiteta. :123-132
The paper is devoted to the use of artificial neural networks for signal processing in electrical engineering and electric power industry. Direct propagation neural network (perceptron) is considered as an object in the theory of experiment planning.
Publikováno v:
Vestnik Chuvashskogo universiteta. :68-77
Modern electric power facilities-stations and high-voltage substations have become digital objects with the active use of high-speed local networks directly involved in the technological process. Management, analysis and control of information exchan
Publikováno v:
Vestnik Chuvashskogo universiteta. :132-140
Fault localization in power lines and other elements of the power system is based on the analysis of transient processes parameters or, for the wave method, on fixation of the transition process onset. Both approaches require modern digital methods o
Autor:
Victor Segeyevich Abrukov, Seimbika Usmanovna Bichurina, Elena Slavutskaya, Leonid Slavutskii
Publikováno v:
Science for Education Today. 10:87-107
Autor:
Leonid Slavutskii, Nadezhda Ivanova
Publikováno v:
INTERNATIONAL CONFERENCE ON INFORMATICS, TECHNOLOGY, AND ENGINEERING 2021 (InCITE 2021): Leveraging Smart Engineering.
Publikováno v:
Technology, Innovation and Creativity in Digital Society ISBN: 9783030897079
Data mining techniques include traditional statistical estimation theory and machine learning methods. They have been intensively developed in recent years, and are increasingly used in a variety of fields. The present research suggests the simultane
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b91637736fe2b59f5e1d7a70f111e19
https://doi.org/10.1007/978-3-030-89708-6_44
https://doi.org/10.1007/978-3-030-89708-6_44
Publikováno v:
Experimental Psychology (Russia). 12:131-144
The artificial neural networks (ANN) for the psycho-diagnostics data analyzing is used. It is shown that the training of a simple ANN of direct propagation, as the problem of nonlinear multi-parameter optimization, allows to carry out the vertical sy
Publikováno v:
Knowledge in the Information Society ISBN: 9783030658564
Analysis and visualization of causal and latent dependencies between statistical inhomogeneous data are important tasks for different fields. The quite simple neural network algorithms are proposed for the analysis and interpretation of psycho-diagno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9a767dcbe479c1f227a04e5d286c95c
https://doi.org/10.1007/978-3-030-65857-1_7
https://doi.org/10.1007/978-3-030-65857-1_7
Publikováno v:
2020 International Ural Conference on Electrical Power Engineering (UralCon).
The technique based on contactless pulsed ultrasonic control of electrical equipment's low frequency vibrations is proposed. Experimental laboratory measurements were carried out under conditions when the frequency of ultrasonic probing pulses is com