Formeasurement of component content in the extraction and separation process of praseodymium/neodymium (Pr/Nd)

a softmeasurement method was proposed based on modeling of ion color features

which is suitable for fast estimation of component content in production field. Feature analysis on images of the solution is conducted

which are captured from Pr/Nd extraction/separation field. H/S components in the HSI color space are selected as model inputs

so as to establish the least squares support vector machine (LSSVM) model for Nd (Pr) content

while the model parameters are determined with the GA algorithm. To improve the adaptability of the model

the adaptive iteration algorithmis used to correct parameters of the LSSVMmodel

on the basis of model correction strategy and new sample data. Using the field data collected from rare earth extraction production

predictive methods for component content and comparisons are given. The results indicate that the proposed method presents good adaptability and high prediction precision

so it is applicable to the fast detection of element content in the rare earth extraction.