Application of Machine Learning Algorithms and Neural Networks for Recognition of Parasitic Parameters by the Output Signal in High-Power Pulsed Electrophysics Devices-Reference-Cited by-同舟云学术

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Application of Machine Learning Algorithms and Neural Networks for Recognition of Parasitic Parameters by the Output Signal in High-Power Pulsed Electrophysics Devices

Published:2023-12 Issue:12 Volume:86 Page:2696-2702
ISSN:1063-7788
Container-title:Physics of Atomic Nuclei
language:en
Short-container-title:Phys. Atom. Nuclei

Author:

Averyanov G. P.,Dmitrieva V. V.

Publisher

Pleiades Publishing Ltd

Link

https://link.springer.com/content/pdf/10.1134/S1063778823100046.pdf

Reference16 articles.

1. A. M. Zagrebaev and V. N. Samanchuk, Sovrem. Nauch. Issled. Innov., No. 2, 1 (2015). https://web.snauka.ru/issues/2015/02/48496.

2. L. I. Yudin, High Voltage and Current Pulse Generators (MIFI, Moscow, 1983) [in Russian].

3. A. G. Ponomarenko, Powerful Pulse Technology, Part 1: Circuit Elements and Power Supplies (MIFI, Moscow, 2007) [in Russian].

4. A. M. Zagrebayev and S. V. Ten, Euras. J. Math. Comput. Appl. 9, 101 (2021).

5. L. I. Yudin, Powerful Pulse Technology, Part 2: Switching Devices (MIFI, Moscow, 1977) [in Russian].

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