用BP网络算法获取电子浓度真高剖面

用BP网络算法获取电子浓度真高剖面 OBTATNING THE PROTILE OF IONOSPHERIC ELECTION DENSITY VS REAL HEIGHT WITH BACKPROPAGATION NETWORK 吴庆麟 Wu Qinglin 1 first-author 李先文 Li Xianwen 1 武汉大学电子信息学学院 武汉大学电子信息学学院 College of Electronic Information,Wuhan University College of Electronic Information,Wuhan University 提出了一种从垂测电离图获取电子浓度真高剖面的新方法——网络逼近法．该方法通过ＢＰ网络算法求解群路径积分方程，得到了电子浓度真高剖面．并对给定的抛物模式作了验证计算，计算结果与抛物模型理论值吻合较好 A new method approximation with BP network to obtain the profile of ionospheric electron density versus real height is described, how to resolve the group path integral equation with BP neural network is demonstrated, and the computation result with this method in resolving the ionogram correspondent with a parabolic model is givn in this paper. 网络逼近法 BP网络 电离图 群路径 approximation with network BP network ionogram group path TP18 国防预研基金 1999-01-01 2021-04-01 1