Title :
Case-based Reasoning based on Rough set in rare-earth extraction process
Author :
Gong Jinhong ; Yang Hui ; Zhong Lusheng
Author_Institution :
Sch. of Electron. & Electr. Eng., East China Jiaotong Univ., Nanchang, China
Abstract :
On the characteristics of complex rare-earth extraction process and achieving automatic control technology hardly, while the Rough set theory has the unique merit of having no use for the outside information or the priori knowledge when dealing with ambiguous information and its adoption in Case-Based Reasoning(CBR) might optimize the cases library then draw the corresponding conclusion quickly, the paper lodge CBR based on Rough set in rare-earth extraction process. It can optimize the manual enactment in the rare-earth extraction process in place of the enactment to feeding liquid flowrate and forecast the information of component content. An industrial experiment in the extraction process proves this CBR method can achieve the intelligent optimal control for the process effectively and obtain good forecast-value of component content.
Keywords :
case-based reasoning; intelligent control; metallurgy; optimal control; rough set theory; automatic control technology; case-based reasoning; complex rare-earth extraction process; feeding liquid flowrate; intelligent optimal control; rough set theory; Cognition; Construction industry; Data mining; Libraries; Optimal control; Process control; Separation processes; Case Based Reasoning; Optimal Setting; Rare Earth Extract; Rough Set;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6