Regression Derivatives and Their Application in the Study of Magnetic Storms

S. Agayan, Shamil Bogoutdinov, R. Sidorov, Anatoly Soloviev, Dmitry Kamaev, Andron O. Aleksanyan, B. Dzeranov
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Abstract

Discrete Mathematical Analysis (DMA) is a data analysis method that uses fuzzy mathematics and fuzzy logic. DMA involves the active participation of the researcher in the study of records, offering technologies and algorithms for analyzing records through the properties of interest to the researcher. In the present work, such properties are related to regression derivatives, and the results obtained are applied to magnetic records. The possibilities of the method in the morphological analysis of geomagnetic storms are demonstrated on the example of three strongest storms that have occurred since the beginning of the current 25th solar cycle.
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回归导数及其在磁暴研究中的应用
离散数学分析(DMA)是一种使用模糊数学和模糊逻辑的数据分析方法。离散数学分析让研究人员积极参与记录研究,通过研究人员感兴趣的属性提供分析记录的技术和算法。在本研究中,这些属性与回归导数有关,所获得的结果适用于磁性记录。以当前第 25 个太阳周期开始以来发生的三次最强风暴为例,展示了该方法在地磁暴形态分析中的可能性。
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Regression Derivatives and Their Application in the Study of Magnetic Storms
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