Recognition of geomagnetic storms from time series of matrix observations with the muon hodoscope URAGAN using neural networks of deep learning

Recognition of geomagnetic storms from time series of matrix observations with the muon hodoscope URAGAN using neural networks of deep learning

We solve the problem of recognizing geomagnetic storms from matrix time series of observations with the URAGAN muon hodoscope, using deep learning neural networks. A variant of the neural network software module is selected and its parameters are determined. Geomagnetic storms are recognized using b...

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Main Authors: Getmanov V. G., Gvishiani A. D., Soloviev A. A., Zajtsev K. S., Dunaev M. E., Ehlakov E. V.
格式: 文件
语言:English
出版: INFRA-M 2024-03-01
丛编:Solar-Terrestrial Physics
主题:
geomagnetic storms
recognition
neural networks
probabilities of correct and false recognitions
matrix observations
muon hodoscope
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