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An Approach of CBR to Intelligent Optional Control Architect...

An Approach of CBR to Intelligent Optional Control Architecture for Rare-Earth Extraction Process based on Rough Set

作     者:Gong Jinhong,Yang Hui (School of Electronics and Electrical Engineering,East China Jiaotong University,Nanchang,330013,China) 

会议名称:《2009中国控制与决策会议》

会议日期:2009年

学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:supported by National Nature Science Foundation under Grant 50474020 

关 键 词:Rare Earth Extract Optimal Setting Case Based Reasoning Rough Set 

摘      要:正On the characteristics of complex rare-earth extraction process,difficult system craft operation,achieving hardly automatic control technology,and inaccessibility to on-line component content,the paper lodge a technology for the extraction of rare earth based on the Case Based Reasoning(CBR) technology with *** can optimize the manual enactment in the rare-earth extraction process in place of the enactment to feeding liquid flowrate,forecast the information of component *** it designs structure of the case and establishes the cases library on the base of the dynamical equilibrium model of the extraction separation process and a large amount of historical data,and simplify the knowledge of the cases library and refines the rules with Rough Set theory,so the cases library is optimized and the speed of retrieval is greatly improved at the same *** method can achieve the intelligent optimal control for the rare-earth extraction process effectively and obtain good forecast-value of component *** industrial experiment in the extraction process using this CBR technology with Rough Set proves its effectiveness and accuracy.

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