Hybrid Method for Detecting Anomalies in Cosmic ray Variations Using Neural Networks Autoencoder
Cosmic rays were discovered by the Austrian physicist Victor Hess in 1912 in a series of balloon experiments performed between 1911 and 1912. Cosmic rays are an integral part of fundamental and applied research in the field of solar–terrestrial physics and space weather. Cosmic ray data are applied...
Main Authors: | Oksana Mandrikova, Bogdana Mandrikova |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/14/4/744 |
Similar Items
-
Method of Wavelet-Decomposition to Research Cosmic Ray Variations: Application in Space Weather
by: Oksana Mandrikova, et al.
Published: (2021-12-01) -
Detection of Anomalies in Natural Complicated Data Structures Based on a Hybrid Approach
by: Oksana Mandrikova, et al.
Published: (2023-05-01) -
Hybrid Model of Natural Time Series with Neural Network Component and Adaptive Nonlinear Scheme: Application for Anomaly Detection
by: Oksana Mandrikova, et al.
Published: (2024-04-01) -
Method of Constructing a Nonlinear Approximating Scheme of a Complex Signal: Application Pattern Recognition
by: Oksana Mandrikova, et al.
Published: (2021-03-01) -
АНАЛИЗ ГЕОМАГНИТНЫХ ДАННЫХ И КОСМИЧЕСКИХ ЛУЧЕЙ В ПЕРИОДЫ ПОВЫШЕННОЙ СОЛНЕЧНОЙ АКТИВНОСТИ
by: O.V. Mandrikova, et al.
Published: (2016-11-01)