摘要
1.前言
Kosk于1986年提出了模糊联想记忆(Fuzzy Associative Memory,FAM)系统,它模拟了人脑通过模糊联想记忆,能够对目标进行划分并对此进行识别判断的方法,对目标进行智能分类识别.
The fuzzy associative classifier is investigated in this paper. The design methods of the fuzzy associative classifier with genetic algorithm for training are presented. This method trains the weight and back terms to obtain classification rules automatically. Radar radiant points are classified by using of this algorithm, and the simulation results show that the method has higher identification precision than available fuzzy classifiers.
出处
《计算机科学》
CSCD
北大核心
2003年第10期52-54,共3页
Computer Science
基金
国防科技预研基金
图像信息处理与智能控制教育部重点实验室基金TKLJ0114
