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Improving the efficiency of reactive power compensation devices through neural analysis
Author(s) -
Violetta Zatsepina,
O. Ya. Shachnev,
U U Abdulkadyrov
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2176/1/012062
Subject(s) - artificial neural network , computer science , compensation (psychology) , toolbox , matlab , field (mathematics) , control engineering , ac power , power (physics) , artificial intelligence , voltage , engineering , electrical engineering , psychology , physics , mathematics , quantum mechanics , psychoanalysis , pure mathematics , programming language , operating system

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