In the first step, the antecedents of fuzzy classification system and input variables are coded into a binary string and treated as an individual in genetic algorithm.
第一阶段,将模糊分类系统的前件和输入变量编码为一个个体,实现了输入变量论域的动态划分和输入变量选择。
The new fuzzy classification system has some advantages as follows: (1) good interpretability, (2) efficient feature compression, (3) comparative accuracy to the traditional methods.
新模糊分类系统具有以下优点:(1)可解释性好,(2)有效的特征压缩,(3)与传统方法相当的识别精度。
To define the part cluster reference patterns is the key in part classification system. The problem has been solved successfully by using fuzzy cluster analysis.
确定零件组的参考模式是零件分类系统的关键问题。采用模糊聚类分析法,解决了这一难题。
应用推荐