基于自组织神经网络的模式分类研究

The Study of Pattern Classification Based on Self-organized Neural Network

分析了常用的ＶＱ（ＶｅｃｔｏｒＱｕａｎｔｉｚｅｒ──矢量量化）分类算法所存在的缺点，提出用自组织神经网络模型取代ＶＱ算法，对这种模式分类的过程进行了描述，并阐明它的优点．

In this paper,the shortages of the Vector Quantizer Classification Algorithm hasbeen discussed,and the self-organized neural netwprk is introduced to replace the VectorQuantizer Classification Algorithm. The detailed description about the classification processand its advantages are also presented.