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- W2904658189 abstract "The work is devoted to the study of the dynamics of variations in cosmic rays and the identification of periods of sporadic effects. The data of the world network of neutron monitors have been studied, and signs of sporadic effects have been identified. Various architectures of neural networks were used and the quality of their work was assessed. The effectiveness of the application of vector quantization neural networks for the task of classification of cosmic ray data is shown. A method for improving the quality of the regression neural network operation based on the application of fast wavelet decompositions is proposed." @default.
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- W2904658189 date "2018-12-01" @default.
- W2904658189 modified "2023-09-23" @default.
- W2904658189 title "Analysis of cosmic rays variations on the basis of neural networks" @default.
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