基于Kohonen网络的反TBM目标识别模型

Kohonen-Based Model of Target Identification in ATBM Combat

目标识别是反 TBM 作战中的一个关键环节。文中通过对反 TBM 目标识别问题的分析,利用Kohonen 神经网络在分类时的优良特性,建立了基于 Kohonen 网络的反 TBM 作战目标识别模型,并对模型进行了仿真验证,为反 TBM 目标识别问题的深入研究提供了一种有益的思路。

Target identification is a critical problem in ATBM combat.In this paper,the problems on target identification in ATBM combat are analyzed,and Kohonen-based model of target identification is built according to the perfect characters of Kohonen neural network in pattern recognition.The model is simulated by using MATHLAB toolbox and the result is achieved satisfied.This paper is very helpful to deeply study the target identification problem in ATBM.