Solar flare forecasting model supported with artificial neural network techniques

被引：46

作者：

Wang, H. N. ^{[1
]}

Cui, Y. M. ^{[1
]}

Li, R. ^{[1
]}

Zhang, L. Y. ^{[1
]}

Han, H. ^{[1
]}

机构：

[1] Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China

来源：

ADVANCES IN SPACE RESEARCH | 2008年 / 42卷 / 09期

关键词：

Solar magnetic field; Solar activity; Forecast;

D O I：

10.1016/j.asr.2007.06.070

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Nowadays operational models for solar activity forecasting are still based on the statistical relationship between solar activity and solar magnetic field evolution. In order to set up this relationship, many parameters have been proposed to be the measures. Conventional measures are based on the sunspot group classification which provides limited information from sunspots. For this reason, new measures based on solar magnetic field observations are proposed and a solar flare forecasting model supported with an artificial neural network is introduced. This model is equivalent to a person with a long period of solar flare forecasting experience. (C) 2007 COSPAR. Published by Elsevier Ltd. All rights reserved.

引用

页码：1464 / 1468

页数：5

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