Application of Nonlinear Reversible Network Model based on Correlation Coefficient Matrix in Predicting Lutetium Oxide Price
Using the price of lutetium oxide as the prediction target,monthly data from June 2013 to March 2023 is selected to build a correlation coefficient matrix-nonlinear invertible network model(CM-INN model)for predicting the price of lutetium oxide.The prediction results show that the CM-INN model can solve the problems of sensitivity to outliers and abnormal values,and the difficulty in parameter selection.It can effectively handle complex modeling relationships,and improve the efficiency of eigenvalue calculation and model training.The CM-INN has strong simulation capability,low error,high convergence accuracy,and high computational efficiency,which has certain predictive significance for the trend of the price of the rare earth oxide lutetium.
万方数据
维普
