Fuzzy classification and activity prediction for the solar active region

Details Fuzzy classification and activity prediction for the solar active region Fuzzy classification and activity prediction for the solar active region

Aug 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002acasn..43..242h&link_type=abstract

Acta Astronomica Sinica, vol.43, no.3, p. 242-246

Astronomy and Astrophysics

Astronomy

1

Sun: Activity, Method: Data Analysis

Scientific paper

The theory and method of fuzzy clustering analysis are applied to study the properties of the solar active region. With use of the data of soft X-ray flares and the characteristic factors of the sunspot groups in the solar geophysical data, the standardized value is obtained by average value and standard deviation. The fuzzy similitude matrix and equivalent matrix are built by use of the included angle cosine transform and the method of similitude coefficient then we can divide 24 active regions into 5 grades of the activity according to ?threshold valuation. The activity prediction of the active regions has been obtained by the data reduction and analysis.

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