Component Content Soft-Sensor Based on RBF Neural Network in Rare Earth Countercurrent Extraction Process
Hui Xin Yang, Yonggang Xu, Xin Wang · 2006
In consideration of the difficulty in online measuring the component content in rare earth extraction separation production process, the soft-sensor method based on the radial basis function (RBF) neural networks is proposed to measure the rare earth component content. The parameters of soft-sensor are optimized by the hierarchical genetic algorithms. In addition, application experiment research of this proposed method is carried out in the rare earth separation production process of a corporation. The results show that this method is effective and can realize online measuring for the component content of rare earth in the countercurrent extraction