An Approach of CBR to Intelligent Optional Control Architecture for Rare-Earth Eztraction Process based on Rough Set
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 Rough-set. It 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 content. Also 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 time. The method can achieve the intelligent optimal control for the rare-earth extraction process effectively and obtain good forecast-value of component content. An industrial experiment in the extraction process using this CBR technology with Rough Set proves its effectiveness and accuracy.
Rare Earth Eztract Optimal Setting Case Based Reasoning Rough Set
Gong Jinhong Yang Hui
School of Electronics and Electrical Engineering, East China Jiaotong University, Nanchang, 330013, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
1997-2002
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）