摘要
通过自组织映射神经网络实现的聚类算法能将任意维数的输入信号模式转变为一维或二维的离散映射,以拓扑有序的方式自适应实现这个变换。介绍自组织映射聚类算法的原理,通过实验进行仿真,结果表明自组织映射聚类算法是可行有效的。
Clustering Algorithm of Self-Organizing Mapping Neural Networks can make input signal pattern of any dimensions into disperse mapping of one or two dimensions, and make this transform self-organizing topologically ordinal. This paper introduces the principle of Clustering Algorithm of Self-Organizing Mapping, and uses experiment to emulate. The result prove that Clustering Algorithm of Self-Organizing Mapping is efficient.
出处
《现代计算机》
2007年第3期7-8,33,共3页
Modern Computer
