| 模糊规则提取的两种方法性能分析 |
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| 引用本文： | 苗立靖,杨杰,黄欣.模糊规则提取的两种方法性能分析[J].模糊系统与数学,1999,13(3):16-21. |
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| 作者姓名： | 苗立靖 杨杰 黄欣 |
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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863CIMS主题项目；国家经贸委资助项目 |
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| 摘 要： | 机器学习近年来得到越来越多的重视，模糊规则提取是其中的重要的一个方向。本文介绍了两种自动提取模糊规则的方法，分别是基于多层前向网络和基于遗传算法的模糊规则自动生成。并且，详细的分析了两种方法性能
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| 关 键 词： | 机器学习 模糊规则 多层前向网络 遗传算法 规则生成 |
| 文章编号： | 1001-7402(1999)03-0016-06 |
| 修稿时间： | 1998-10-21 |
Performance Evaluation of Two Kinds of Rules Extracting Methods |
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| MIAO Li-jing,YANG Jie,HUANG Xing.Performance Evaluation of Two Kinds of Rules Extracting Methods[J].Fuzzy Systems and Mathematics,1999,13(3):16-21. |
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| Authors: | MIAO Li-jing YANG Jie HUANG Xing |
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| Abstract: | In practice, the amount of sample data are becoming larger and larger, machine learning is a promising technology to solve such problem. We introduce two kinds of algorithm which is used to extract rules from sample data in this paper. And their detailed performance analysis of the result rules are described. |
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| Keywords: | Machine Learning Fuzzy Rule Multilayer Feedforward Network Genetic Algorithm Rules Extracting |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
