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智能控制过程中模糊专家控制规则的获取
引用本文:黄黎明 唐朝晖. 智能控制过程中模糊专家控制规则的获取[J]. 计算机工程与应用, 2007, 43(13): 239-242
作者姓名:黄黎明 唐朝晖
作者单位:中南大学,信息科学与工程学院,长沙,410083;中南大学,信息科学与工程学院,长沙,410083
摘    要:在系统的实时数据库中,积累了大量的系统运行数据,其中隐含了与工业过程运行状态趋势相关的操作人员控制方法,这为数据挖掘技术在工业过程智能控制中的应用奠定了基础。但是要在连续数值型的数据中挖掘出所需要的专家规则目前还没有快速有效的方法。本文提出了将数值型数据转换成字符型数据再进行频繁序列挖掘的方法,以获取模糊专家系统的控制规则,并在钢铁厂实现了煤气混合加压站智能控制。

关 键 词:二元间接互关联后继树  模糊专家系统  专家知识获取
文章编号:1002-8331(2007)13-0239-04
收稿时间:2006-06-02
修稿时间:2006-09-01

Acquirement the control rules of Fuzzy Expert Control System in the progress of Intelligent Control
Lingming Huang,Zhaohui Tang. Acquirement the control rules of Fuzzy Expert Control System in the progress of Intelligent Control[J]. Computer Engineering and Applications, 2007, 43(13): 239-242
Authors:Lingming Huang  Zhaohui Tang
Affiliation:College of Information Engineering Central South University of Technology, Changsha 410083)
Abstract:The database of real-time control system accumulates a great number of system data.These data have concealed with many operator control methods that related to the status tendency of industrial process.And they have laid the foundation for the application of data mining technology in the field of industrial process intellectual control.But mining the expert rule in the continuously numerical data that needs not to have the fast valid method at present.In this paper,the authors propose a method which translate numerical type data into character type date and then mine the frequent sequence that in order to obtain the rule of fuzzy expert control system,and achieve the intelligence control of the gas mixture pressure station in the iron and steel factory.
Keywords:Indirect Inter-Relevant Successive Tress with Dual Arties  fuzzy expert system  acquirement of expert knowledge
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