Application of the concepts of neural network and tree structure in rare earth separations

作     者：Jiangtao Jia Sheng Wu Yawen Zhang Chunsheng Liao Chunhua Yan Guangxian Xu 

作者机构：Peking Univ State Key Lab Rare Earth Mat Chem & Applicat Beijing 100871 Peoples R China 

出 版 物：《Chinese Science Bulletin》 (中国科学通报)

年 卷 期：2001年第46卷第9期

页      面：744-746页

核心收录：

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：This work was supported by the National Natural Science Foundation of China (Grant Nos. 29571003, 29525101, 29701001 and 29832010) the Research Fund for Doctoral Training Program of Higher Education of MOE (Grant No. 9500102) the State Key Project fo 

主　　题：neural network tree structure rare earth separation. 

摘      要：The concepts of neural network and tree structure are introduced to rare earth separations. The recursive relations and analytical expression for calculating the possible flow sheets and processes are derived in multi-component systems based on dichotomy. As an example, the application of the concepts is elucidated in detail in a separation of light rare earths containing La, Ce, Pr and Nd in the HEH(EHP)-HC1 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 can also be applied to the separation into group situations and other similar cases, too.