Quantitative inversion of REEs in ion-adsorbed rare earth ores from the Liutang area (South China), based on measured hyperspectral data
发布时间：2023-03-06
点击次数：
DOI码：10.1007/s12583-021-1504-1
发表刊物：Journal of Earth Science
关键字：hyperspectral, ion-adsorbed ore, BP neural network, quantitative inversion, REEs
摘要：Rare earth minerals are important strategic resources to economic development all over the world. In this study, multiple linear regression and back propagation (BP) neural network methods are used to invert the contents of ion adsorbed rare earth elements (REEs) and exploring the feasibility of quantitative inversion of REEs through measured hyperspectral data in Liutang rare earth mines, South China. The result shows that the spectral curve of the rare earth ore samples has obvious absorption characteristics around 390 nm, 930 nm, 1400 nm, 1900 nm and 2200 nm, and continuum removal and the 1st derivative treatment can highlight the absorption characteristics. The modeling accuracies of BP neural network are higher than that of multiple linear regression model. The BP neural network model of the 1st derivative data in 400-1000nm bands has the best inversion result of the total content of REEs, R2 reaches 0.98, the ratio of the performance to deviation (RPD) is larger than 3.0. The quantitative inversion model of each REE (except for Ce) has high precision, R2 is greater than 0.90 and RPD is greater than 3.0. The results indicate that quantitative inversion of REEs using measured spectra not only has great potential and feasibility in the exploration of rare earth minerals, but also provides a rapid test method for the content of ion-adsorbed rare earth elements.
第一作者：Gong Cheng
论文类型：期刊论文
论文编号：001050332100010
学科门类：工学
一级学科：地质资源与地质工程
文献类型：J
卷号：34
期号：4
页面范围：1068-1082
ISSN号：1674-487X
是否译文：否
发表时间：2023-03-06
收录刊物：SCI
附件：