| 一种神经模糊数据分类方法及其应用 |
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| 引用本文： | 张志华,刘清平. 一种神经模糊数据分类方法及其应用[J]. 自动化技术与应用, 2004, 23(4): 16-19 |
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| 作者姓名： | 张志华 刘清平 |
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| 作者单位： | 中国农业大学,工学院,北京,100083;中国农业大学,工学院,北京,100083 |
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| 摘 要： | 近年来．数据挖掘技术已成为国内外研究热点．而数据分类是数据挖掘中最重要的任务之一。本文介绍了一种神经模糊数据分类方法NEFCLASS模型，它通过从数据学习得到模糊分类规则．产生具有良好解释性的分类结果，分析了它的结构、学习算法和修减策略．还讨论了它的实现工具和应用。
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| 关 键 词： | 数据分类 神经模糊分类 NEFCLASS |
| 文章编号： | 1003-7241(2004)04-0016-04 |
| 修稿时间： | 2003-11-10 |
A Neuro-fuzzy Approach For the Data Classification and Its Application |
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| ZHANG Zhi-hua,LIU Qing-ping. A Neuro-fuzzy Approach For the Data Classification and Its Application[J]. Techniques of Automation and Applications, 2004, 23(4): 16-19 |
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| Authors: | ZHANG Zhi-hua LIU Qing-ping |
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| Abstract: | More and more researchers are working on data mining technology all over the world,and data classification is one of the most important tasks in data mining.The paper introduces NEFCLASS,a neuro_fuzzy system for the classification of data.This system derives fuzzy rules from data,and the obtained results have good interpretability.We analyze its structure,learning algorithm and pruning strategies,and we also discuss its software tools and applications. |
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| Keywords: | Data classification Neuro-fuzzy classification NEFCLASS |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
