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ORCIDYulia A. Chelebaeva
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2020 – today
- 2020
[c9]Sergey V. Chelebaev, Olga V. Melnik, Yulia A. Chelebaeva:
Method of Neural Network Adjustment of Frequency Converters into Code of Two Variables Based on Multilayer Perceptrons. MECO 2020: 1-4
2010 – 2019
- 2019
- [c8]Olga V. Melnik, Yulia A. Chelebaeva, Sergey V. Chelebaev:
Neural Network Models of Cardiorhythmograms Analysis. MECO 2019: 1-4 - 2018
- [c7]Sergey V. Chelebaev, Olga V. Melnik, Yulia A. Chelebaeva:
Application of simulation modeling for the analysis of neurons of converters of time-and-frequency parameters of signals in a digital code. MECO 2018: 1-4 - 2017
- [c6]Sergey V. Chelebaev, Yulia A. Chelebaeva:
Frequency converters in a code of one and two variables of the follow-up action principle on the modified Hopfild's network basis. MECO 2017: 1-5 - [c5]Olga V. Melnik, Yulia A. Chelebaeva, Sergey V. Chelebaev:
Real-time heart rate parameter analysis based on artificial neural networks. MECO 2017: 1-5 - 2016
- [c4]Andrey V. Antonenko, Yulia A. Chelebaeva:
Structures synthesis of the functional converters based on multilevel neural network description. MECO 2016: 313-316 - [c3]Sergey V. Chelebaev, Yulia A. Chelebaeva:
Converters structures synthesis of time-and-frequency signals parameters in the code of two variables on the radial basis network. MECO 2016: 339-342 - 2015
- [c2]Sergey V. Chelebaev, Yulia A. Chelebaeva:
The converter structure of time-and-frequency signals parameters in a code of two variables on the recurrent network basis. MECO 2015: 199-202 - 2014
- [c1]Sergey V. Chelebaev, Yulia A. Chelebaeva:
Two variables time-and-frequency signals parameters in a digital code neural network converters synthesis procedure on the perceptrons basis. MECO 2014: 140-143
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