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Data Mining Application in Controlling the Pressure of Gas-Collecting Pipe

机译:数据挖掘在集气管压力控制中的应用

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The pressure of gas-collecting pipe is the main technology parameter in the production of coke oven. At present, people have adopted the advanced strategy that combined fuzzy control and expert controlling together in lots of factories. Fuzzy rules are generally created based on experience conclusions. It is in the basic of experience. This paper applies data mining to intelligent control, and it gives a new approach for obtaining fuzzy rules to mine history data. The method based on data has functions as acquiring automatically fuzzy rules, creating and perfecting automatically knowledge base. Simultaneously it doesn''t depend on seriously transcendent knowledge of material object in the period of system design, and it has independence of algorithm when running, and so on
机译:集气管的压力是焦炉生产中的主要技术参数。目前,许多工厂已经采用了将模糊控制和专家控制相结合的先进策略。通常基于经验结论创建模糊规则。这是经验的基础。本文将数据挖掘应用到智能控制中,为获取模糊规则挖掘历史数据提供了一种新的方法。基于数据的方法具有自动获取模糊规则,自动创建和完善知识库的功能。同时,它在系统设计期间不依赖于对物质对象的认真超越的知识,并且在运行时具有算法的独立性,等等。

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