| 基于计算智能的模糊规则自动生成 |
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| 引用本文： | 杨杰,郭英凯,杨勇.基于计算智能的模糊规则自动生成[J].上海交通大学学报,1999,33(11):1409-1413. |
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| 作者姓名： | 杨杰 郭英凯 杨勇 |
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| 作者单位： | 上海交通大学图像处理和模式识别研究所上海200030 |
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| 基金项目： | 国家高技术研究863－CIM S主题项目 |
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| 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，并给出各算法特点和结果分析
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| 关 键 词： | 模糊控制 规则生成 人工神经网 遗传算法 |
| 文章编号： | 1006-2467(1999)11-1409-05 |
| 修稿时间： | 1998年12月16 |
Automtic Generation of Fuzzy Rules Based on Computational Intelligence |
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| YANG Jie,GUO Ying kai,YANG Yong Inst. of Image Processing and Pattern Recog.,Shanghai Jiaotong Univ.,Shanghai ,China.Automtic Generation of Fuzzy Rules Based on Computational Intelligence[J].Journal of Shanghai Jiaotong University,1999,33(11):1409-1413. |
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| Authors: | YANG Jie GUO Ying kai YANG Yong Inst of Image Processing and Pattern Recog Shanghai Jiaotong Univ Shanghai China |
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| Institution: | YANG Jie,GUO Ying kai,YANG Yong Inst. of Image Processing and Pattern Recog.,Shanghai Jiaotong Univ.,Shanghai 200030,China |
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| Abstract: | 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. |
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| Keywords: | fuzzy control rule generation artificial neural network genetic algorithm |
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