自组织特征映射网络在目标分类识别中的应用

为了在日趋复杂的空战环境中准确分析出目标的类型,以达到辅助决策之目的,采用自组织特征映射网络来对目标进行分类识别.首先提取影响目标识别的类特征,然后对其预处理.在此基础上建立SOM网络目标识别模型,并利用SOM网络算法实施无监督的自组织学习.在学习的过程中,通过不断调节网络节点间的权向量,来实现目标聚类.最后,通过仿真验证了该方法在目标分类识别中的可行性和实用性.

Application of Self-organizing Feature Map to Target Classification and Recognition

In order to accurately analysis types of targets in a complicated air combat environment and help decision-making,self organizing feature map is used in target classification and recognition.First of all,extract the sort-characters of target recognition,and then pre-treat these characters,on which basis, the SOM neural network model is created.At the same time,SOM-algorithm is used to non-supervised self-organizing study.In the process of self-organizing study,the weight vectors of neural network are contin...