摘要
容器算法一般用于复杂系统的拟合和仿真,本文将其推广应用到模式分类问题之上,主要方法有拟合指纹比较法和训练法两种。文章在最后通过例子结合CUP分形特性探讨了不同时钟信号序列对演化序列的影响和不同区分度的现实意义。
The container algorithm is generally used for the fitting and simulation for complex systems. This paper applies it to the pattern classification problem. The main methods are fingerprint of fitting comparison method and training method. In the end, the article discusses the fractal characteristics of pattern recognition by examples. and the different clock signal sequences on the evolutionary sequence and the practical significance of different degrees of discrimination are discussed.
作者
高远
李青
GAO Yuan;LI Qing(Shanghai University, Shanghai 200444 China)
出处
《自动化技术与应用》
2019年第6期117-121,共5页
Techniques of Automation and Applications
基金
上海市科技创新行动计划项目资助(编号16511101200)
关键词
CUP算法
演化序列
拟合指纹比较
训练法
CUP algorithm
evolutionary sequence
fingerprint of fitting
training method
