| 基于规则的复合人工神经网络故障诊断专家系统 |
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| 引用本文： | 吴静,邓平基. 基于规则的复合人工神经网络故障诊断专家系统[J]. 孝感学院学报, 2006, 26(6): 32-35 |
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| 作者姓名： | 吴静 邓平基 |
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| 作者单位： | 郧阳医学院,数理教研室,湖北,十堰,442000 |
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| 摘 要： | 提出了一种基于规则的新智能故障诊断专家系统,该系统使传统故障诊断专家系统和神经网络有机结合,并融合了模糊理论。系统增加了自学习机制,使知识获取容易,解释机制更灵活,因而使故障诊断系统更具灵活性和透明性。
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| 关 键 词： | 故障诊断 人工神经网络 专家系统 |
| 文章编号： | 1671-2544（2006）06-0032-04 |
| 收稿时间： | 2006-10-19 |
| 修稿时间： | 2006-10-19 |
A Fault Diagnosis Expert System Based on Regular Complex Artificial Neural Network |
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| WU Jing,DENG Ping-ji. A Fault Diagnosis Expert System Based on Regular Complex Artificial Neural Network[J]. JOURNAL OF XIAOGAN UNIVERSITY, 2006, 26(6): 32-35 |
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| Authors: | WU Jing DENG Ping-ji |
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| Affiliation: | Department of Mathematics and Physics, Yunyang Medical College, Shiyan, Hubei 442000, China |
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| Abstract: | A new regular intelligent fault diagnosis expert system is presented.The system integrates artificial neural network with classic fault diagnosis expert system,and the fuzzy theory is involved.By function of self-learning,we can easily acquire the knowledge and get the reasonable interpretation.Therefore,its flexibility and diaphaneity are improved. |
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| Keywords: | fault diagnosis artificial neural network expert system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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