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本文介绍了学习向量量化（ＬＶＱ）网络及其改进——广义的学习向量量化（ＧＬＶＱ）网络在聚类分析和水声目标分类中的应用。通过聚类分布图和分类结果的比较．发现对ＬＶＱ网络进行的改进在一定程度上提高了聚类性能：基于ＧＬＶＱ网络的分类系统具有更好的分类性能。
This paper introduces the learning vector quantization (LVQ) network and its improvement - the application of generalized learning vector quantization (GLVQ) networks in cluster analysis and underwater acoustic target classification. Comparison of cluster distribution and classification results. It is found that the improvement on LVQ network improves the clustering performance to a certain degree: the classification system based on GLVQ network has better classification performance.