The algorithm of two-dimensional Kohonen network is improved from serval aspects such as neighborhood function, learning rate, etc. It is applied into tobacco clustering.
本章重点从邻域函数、学习率调整等方面研究了二维网络的改进算法，并将之应用于烟叶动态分类问题。
The algorithm of two-dimensional Kohonen network is improved from serval aspects such as neighborhood function, learning rate, etc. It is applied into tobacco clustering.
本章重点从邻域函数、学习率调整等方面研究了二维网络的改进算法，并将之应用于烟叶动态分类问题。
应用推荐