CORC  > 北京大学  > 化学与分子工程学院
Application of neural network in rare earth separation flow sheets processes with three outlets
Jia, JT ; Wu, S ; Zhang, YW ; Liao, CS ; Yan, CH ; Oh, J ; Pyun, C ; Kim, C
2000
关键词neural network rare earth separation three outlets process
英文摘要The concept of neural network is introduced to rare earth separations in this paper. The recursive relations and analytical expression for calculating the possible flow sheets and processes are derived in multi-component systems based on trichotomy. As an example, the application of the concept is elucidated in detail in a separation of light rare earths containing La, Ce, Pr, and Nd in HEH(EHP)-HCl system. The results show that this method is beneficial to summarizing and classifying the flow sheets and processes in rare earth separations, and is essential to the optimization of separation flow sheets. It is also valuable to be applied for the separation into group situations and other similar cases too.; Chemistry, Applied; SCI(E); CPCI-S(ISTP); 1
语种英语
内容类型其他
源URL[http://ir.pku.edu.cn/handle/20.500.11897/389518]  
专题化学与分子工程学院
推荐引用方式
GB/T 7714
Jia, JT,Wu, S,Zhang, YW,et al. Application of neural network in rare earth separation flow sheets processes with three outlets. 2000-01-01.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace