| 利用模糊神经网络进行数据挖掘的一种算法 |
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| 引用本文： | 熊熊,汪德馨,宋轶民. 利用模糊神经网络进行数据挖掘的一种算法[J]. 系统工程学报, 2000, 15(1): 32-37 |
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| 作者姓名： | 熊熊 汪德馨 宋轶民 |
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| 作者单位： | 天津大学系统工程研究所,天津,300072 |
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| 基金项目： | 国家自然科学基金!资助项目 ( 795 70 0 45 ) |
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| 摘 要： | 研究把模糊神经网络结合进数据挖掘的方法，经过模糊神经网络的建立，训练达到精度要求、网络的裁剪、隐节点激活值的聚类和规划提高的步骤，达到通过模糊神经网络方法从数据库中提取知识的目的，并通过仿真验证了算法有效性。
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| 关 键 词： | 数据挖掘 模糊神经网络 算法 数据库系统 |
Effective data mining based fuzzy neural networks |
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| XIONG Xiong,WANG De-xin,SONG Yi-min. Effective data mining based fuzzy neural networks[J]. Journal of Systems Engineering, 2000, 15(1): 32-37 |
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| Authors: | XIONG Xiong WANG De-xin SONG Yi-min |
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| Abstract: | This paper presents an approach to make data mining using fuzzy neural network. Concise symbolic rules and knowledge can be extracted using a fuzzy neural network from database via following steps: First, set up of fuzzy neural networks and to meet the required accuracy rate of training. Second, to remove redundant connections of the network. Third, the classification and rule extraction of the activation values of the hidden units in the network. Fourth, the effectiveness of the proposed approach is clearly demonstrated by the experiment results. |
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| Keywords: | data mining fuzzy neural networks rule extraction network pruning classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
