节点文献
串级萃取分离组分含量软测量及应用
Concatenation Extraction Separation Constituent Content Soft Measurement and Application
【摘要】 应用萃取机理模型 -RBF神经网络技术对某公司NdPr/CeLa萃取分离生产过程进行仿真验证 ,结果表明所提出的在线估计方法实时性好、精度高 ,能较好地实现串级萃取分离过程组分含量的在线监测。
【Abstract】 The result of simulating verification carried out in NdPr/CeLa extraction separation production process of a corporation by applying extraction mechanism model with RBF neural network technique indicates that the suggested online estimation method has good real time character and high precision and can realize online monitoring for constituent content in concatenation extraction separation process.
【关键词】 稀土;
串级萃取 软测量;
机理模型;
RBF神经网络;
【Key words】 rare earth concatenation extraction soft measurement mechanism model RBF neural network;
【Key words】 rare earth concatenation extraction soft measurement mechanism model RBF neural network;
- 【文献出处】 有色冶金设计与研究 ,Nonferrous Metals Engineering & Research , 编辑部邮箱 ,2003年S1期
- 【分类号】TP274.4
- 【被引频次】10
- 【下载频次】191