Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Yury V. Tiumentsev"'
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11611 (2021)
Situational awareness formation is one of the most critical elements in solving the problem of UAV behavior control. It aims to provide information support for UAV behavior control according to its objectives and tasks to be completed. We consider th
Externí odkaz:
https://doaj.org/article/953430acbd3a4faeb6f4fc5e2855c111
Autor:
Mihail V. Egorchev, Yury V. Tiumentsev
Publikováno v:
Современные информационные технологии и IT-образование, Vol 13, Iss 4, Pp 241-255 (2017)
A simulation approach is discussed for maneuverable aircraft motion as nonlinear controlled dynamical system under multiple and diverse uncertainties including knowledge imperfection concerning simulated plant and its environment exposure. The sugges
Externí odkaz:
https://doaj.org/article/af1b30b5a9aa466599151d795a8cc115
Autor:
Dmitry M. Igonin, Yury V. Tiumentsev
Publikováno v:
Studies in Computational Intelligence ISBN: 9783031190315
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0538378b95956ec513921dab3e7a446
https://doi.org/10.1007/978-3-031-19032-2_40
https://doi.org/10.1007/978-3-031-19032-2_40
Autor:
Pavel A. Kolganov, Yury V. Tiumentsev
Publikováno v:
Studies in Computational Intelligence ISBN: 9783031190315
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1fadf3a2ef8b82c080c98d1694fe62d
https://doi.org/10.1007/978-3-031-19032-2_55
https://doi.org/10.1007/978-3-031-19032-2_55
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research V ISBN: 9783030915803
Advances in Neural Computation, Machine Learning, and Cognitive Research V
Advances in Neural Computation, Machine Learning, and Cognitive Research V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5356cf7a50784e4f600bd8c775bc527
https://doi.org/10.1007/978-3-030-91581-0_41
https://doi.org/10.1007/978-3-030-91581-0_41
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research IV ISBN: 9783030605766
One of the critical tasks that have to be solved when forming a convolutional neural network (CNN) is the choice of the values of its hyperparameters. Existing attempts to solve this problem are based, as a rule, on one of two approaches. The first o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dbac62af3b6615ec451ef02ad850a7c
https://doi.org/10.1007/978-3-030-60577-3_21
https://doi.org/10.1007/978-3-030-60577-3_21
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research IV ISBN: 9783030605766
The article considers one of the aspects of the situational awareness problem for control systems of unmanned vehicles. We interpret this problem as getting information about the current situation in which, for example, an unmanned aerial vehicle (UA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea1d7c95a6de598b8adae5eac6e5a31d
https://doi.org/10.1007/978-3-030-60577-3_14
https://doi.org/10.1007/978-3-030-60577-3_14
Autor:
Yury S. Prostov, Yury V. Tiumentsev
Publikováno v:
Biologically Inspired Cognitive Architectures. 25:58-65
The article deals with a recurrent neurodynamic model of the neuron with a broad class of activation functions, including sigmoidal, stepwise, bounded linear and other ones. We consider the activation characteristic of the neuron, which is the depend
Publikováno v:
BICA
A modelling and simulation approach is discussed for nonlinear controlled dynamical systems under multiple and diverse uncertainties. The main goal is to demonstrate capabilities for semi-empirical neural network based models combining theoretical do
Autor:
Dmitry S. Kozlov, Yury V. Tiumentsev
Publikováno v:
BICA
A simulation problem is discussed for nonlinear controlled dynamical systems represented by differential-algebraic equations of index 2. The problem is proposed to be solved in the framework of a neural network based semi-empirical approach combining