模糊逻辑和BP网络在空空导弹攻击区辨识中的应用

Application of Fuzzy Logic and BP Network in Air\|to\|Air Missile Attacking Area Identification

用模糊逻辑算法和改进的 Ｂ Ｐ算法对某空空导弹未知攻击区辨识进行了仿真分析。分析结果表明这两种算法效果均佳，但各有其特点，而且互不能替代。前者的收敛较后者快，后者的精度（在有限样本下）较前者高。用传统的最小二乘法对未知攻击区的辨识分析是难以达到的。

In this paper, fuzzy logic algorithm and modefied BP algorithm are used in emulating and analyzing certain air\|to\|air missile attacking area identification. The result of analysis shows that the effect of these two algorithms are both wellbut and each has its own characteristic and can't be substituted by the other. The convergence of the former is faster, while the precision of the latter is higher. It is inaccessible to analyze and identify attacking area with traditional least bidiagonalization method.