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Joint analysis of the ionospheric parameters and cosmic ray data during periods of magnetic storms 2015

机译:2015年磁场周期电离层参数和宇宙射线数据的联合分析

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Method of joint analysis of ionospheric parameters and cosmic ray data is proposed. The method allowsto allocate anomalous changes in data before strong magnetic storms. The developed method is based on the application of wavelet transform, neural networks and classical autoregressive models. The application of the method has shown its effectiveness and the possibility of using in the problems of estimating space weather and predicting strong magnetic storms. The research was supported by RSF Grant, project No 14-11-00194.
机译:提出了电离层参数和宇宙射线数据的联合分析方法。该方法允许在强磁风暴之前分配数据的异常变化。开发方法基于小波变换,神经网络和经典自回归模型的应用。该方法的应用表明了其有效性和可能在估计空间天气和预测强磁风暴问题中的可能性。该研究得到了RSF Grant的支持,项目否14-11-00194。

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