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Search for the global extremum using the correlation indicator for neural networks supervised learning

Search for the global extremum using the correlation indicator for neural networks supervised learning

The article discusses the search for a global extremum in the training of artificial neural networks using a correlation indicator. A method based on a mathematical model of an artificial neural network presented as an information transmission system is proposed. Drawing attention to the fact that i...

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Главные авторы: Vershkov, N. A., Вершков, Н. А., Babenko, M. G., Бабенко, М. Г., Kuchukov, V. A., Кучуков, В. А., Kuchukova, N. N., Кучукова, Н. Н.
Format: Статья
Sprog:English
Udgivet: Pleiades journals 2021
Fag:
Data communication systems
Least squares approximations
Comparative analysis
Correlation function
Effective analysis
Neural networks
Online adgang:https://dspace.ncfu.ru/handle/20.500.12258/14736
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https://dspace.ncfu.ru/handle/20.500.12258/14736

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