自组织特征映射网络在舌边数据分类中的应用

Application of Self-Organizing Feature Map Neural Network for Data Sorting of Glossal Brim

尝试利用自组织特征映射网络较强的聚类功能对分割出的舌体边缘进行分类。通过实验证明它能很好的将舌边数据分成舌根、舌尖、舌左、舌右四类点,达到预定目标。

An attempt was made in glossal brim data classification using self-organizing feature mapping network with clustering function. Targets have been reached through experiments. It divides the glossal brim data into four kinds： the root, the apex, the left, the right.