计算机应用与软件Issue(11)：78-80,138,4.DOI:10.3969/j.issn.1000-386x.2014.11.019
灰理论在电离层短期预报中的应用
APPLYING GREY THEORY TO IONOSPHERIC SHORT-TERM PREDICTION
摘要
Abstract
By analysing historical data of ionosphere,we suggest to apply the grey theory analytical method to ionospheric short-term pre-diction.The grey range information entropy is defined to determine the optimum grey length of the sample sequence,and the prediction model based on residual error is constructed as well.Then we examine the model by making use of the measured data derived from multiple iono-spheric observation stations in China respectively,and analyse the prediction residual error in different areas,seasons and solar activity levels and the precision characteristics.Prediction results indicate that the proposed grey theory analytical method can precisely predict the foF2 val-ue of ionosphere 1 day inadvance,and can also be applied to the short-term prediction of other ionospheric parameters,thus has certain applied value in engineering sector.关键词
电离层/短期预报/灰理论Key words
Ionosphere/Short-term prediction/Grey theory分类
信息技术与安全科学引用本文复制引用
胡勇,张衡阳,刘芸江..灰理论在电离层短期预报中的应用[J].计算机应用与软件,2014,(11):78-80,138,4.基金项目
国家自然科学基金项目（61202490）。 （）
