首页> 外文会议>Proceedings of the 29th Chinese Control Conference >Case-based Reasoning based on Rough set in rare-earth extraction process
【24h】

Case-based Reasoning based on Rough set in rare-earth extraction process

机译:稀土提取过程中基于粗糙集的案例推理

获取原文
获取外文期刊封面目录资料

摘要

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.
机译:粗糙集理论具有复杂的稀土提取过程的特点,难以实现自动控制技术,而粗糙集理论的独特优点是在处理模棱两可的信息时不使用外部信息或先验知识,在基于案例的研究中不被采用。推理(CBR)可以优化案例库,然后快速得出相应的结论,在稀土提取过程中,基于粗糙集的方法将CBR提交给CBR。它可以优化稀土萃取过程中的手动法,以代替用于进料液体流量的法则并预测组分含量的信息。萃取过程中的工业实验证明,该CBR方法可以有效地实现对过程的智能优化控制,并获得良好的组分含量预测值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号