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基于Matlab的BP神经网络在太阳耀斑级别预测中的应用
引用本文:牛有田,谢迎涛,曹向陶,贾蕾,张优贤. 基于Matlab的BP神经网络在太阳耀斑级别预测中的应用[J]. 河南师范大学学报(自然科学版), 2014, 0(3): 39-42,140
作者姓名:牛有田  谢迎涛  曹向陶  贾蕾  张优贤
作者单位:河南师范大学物理与电子工程学院;
基金项目:河南省教育厅科技攻关项目(2009B480005)
摘    要:太阳耀斑爆发与多种因素存在着非线性的关系,其中规律难以把握.选择时间变化长短,工作频率,路径大圆距离,VLF传播相位变化偏移量4个与太阳耀斑级别预测密切相关的重要因素,构建了BP神经网络模型;然后利用Matlab工具箱对网络模型进行系统仿真与多次训练,使网络的预测输出不断逼近期望输出,实现对太阳耀斑级别的预测,通过结果误差分析,表明这种方法具有有效性与可行性.

关 键 词:太阳耀斑  BP神经网络  Matlab工具箱

The BP Neural Network Based on Matlab Application in Solar Flare
NIU Youtian;XIE Yingtao;CAO Xiangtao;JIA Lei;ZHANG Youxian. The BP Neural Network Based on Matlab Application in Solar Flare[J]. Journal of Henan Normal University(Natural Science), 2014, 0(3): 39-42,140
Authors:NIU Youtian  XIE Yingtao  CAO Xiangtao  JIA Lei  ZHANG Youxian
Affiliation:NIU Youtian;XIE Yingtao;CAO Xiangtao;JIA Lei;ZHANG Youxian;College of Physics and Electronic Engineering,Henan Normal University;
Abstract:there is nonlinear relationship of various factors with solar flare,in which the law is difficult to grasp.We select the length of time-varying,operating frequency,the path of the great circle distance,the VLF propagation phase change offset four forecast solar flares level Closely related to important factors to construct a BP neural network model.Then use the Matlab toolbox to network model for system simulation and training for many times.The predictive output of network continues to approximate the desired out put,the solar flares level forecast by the results of error analysis showed that this method has validity and feasibility.
Keywords:solar flare  BP neural network  Matlab toolbox
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