自动化学报2006，Vol.32Issue(4)：489-495,7.
稀土萃取过程组分含量的神经网络软测量方法
Component Content Soft-sensor Based on Neural Networks in Rare-earth Countercurrent Extraction Process
摘要
Abstract
Throught fusion of the mechanism modeling and the neural networks modeling, a component content soft-sensor, which is composed of the equilibrium calculation model for multi-component rare earth extraction and the error compensation model of fuzzy system, is proposed to solve the problem that the component content in countercurrent rare-earth extraction process is hardly measured on-line. An industry experiment in the extraction Y process by HAB using this hybrid soft-sensor proves its effectiveness.关键词
Rare-earth/countercurrent extraction/soft-sensor/equilibrium calculation model/neural networksKey words
Rare-earth/countercurrent extraction/soft-sensor/equilibrium calculation model/neural networks分类
信息技术与安全科学引用本文复制引用
杨辉,柴天佑..稀土萃取过程组分含量的神经网络软测量方法[J].自动化学报,2006,32(4):489-495,7.基金项目
Supported by National Natural Science Foundation of P. R. China (50474020, 60534010, 60504006) （50474020, 60534010, 60504006）
