基于计算智能的模糊规则自动生成  

Automtic Generation of Fuzzy Rules Based on Computational Intelligence

作　　者：杨杰[1] 郭英凯[1] 杨勇 

机构地区：[1]上海交通大学图像处理和模式识别研究所,上海200030

出　　处：《上海交通大学学报》1999年第11期1409-1413,共5页Journal of Shanghai Jiaotong University

基　　金：国家高技术研究863-CIM S主题项目

摘　　要：介绍模糊控制开发系统中隶属函数编辑、模糊规则生成与优化、目标代码生成的原理和功能，提出了基于多层感知器网络、五层模糊神经网、遗传算法的模糊规则自动生成算法。The principle and functions of a developmental tool for fuzzy control were introduced, which consists of the edit of fuzzy membership functions, learning and optimization of fuzzy rules, code generation for MCU chips or DSP chips. Algorithms for automatic generation of fuzzy rules based on multi layer perceptron network, five layer fuzzy neural network, genetic algorithm were presented. The characteristics and results of these algorithms were analysed.

关 键 词：模糊控制 遗传算法 模糊规则 自动生成 智能控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程]