Spectroscopy and Spectral Analysis, Volume. 42, Issue 1, 68(2022)
Quantitative Inversion Model Based on the Visible and Near-Infrared Spectrum for Skarn-Type Iron Ore
Figures & Tables(9)
Fig. 5. Flow chart of genetic algorithm to select the optimal band
Fig. 7. The difference between the predicated value and the true value
Table 1. Assessment of RF inversion results
View tableView in ArticleTable 1. Assessment of RF inversion results
预处理结果 R2 RMSE MRE 未经处理的数据 0.91 0.054 0.16 GA 0.88 0.054 0.17 倒数对数-GA 0.88 0.068 0.20 MSC-GA 0.89 0.059 0.18 PCA 0.91 0.053 0.16 倒数对数-PCA 0.89 0.061 0.21 MSC-PCA 0.91 0.051 0.16
Table 2. Assessment of ELM inversion results
View tableView in ArticleTable 2. Assessment of ELM inversion results
预处理结果 R2 RMSE MRE 未经处理的数据 0.90 0.057 0.20 GA 0.91 0.056 0.20 倒数对数-GA 0.95 0.044 0.16 MSC-GA 0.88 0.073 0.22 PCA 0.94 0.042 0.16 倒数对数-PCA 0.91 0.055 0.20 MSC-PCA 0.99 0.0057 0.02
Tools
Get Citation
Copy Citation Text
Ya-chun MAO, Jian WEN, Yan-hua FU, Wang CAO, Zhan-guo ZHAO, Rui-bo DING. Quantitative Inversion Model Based on the Visible and Near-Infrared Spectrum for Skarn-Type Iron Ore[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 68
Paper Information
Category: Research Articles
Received: Nov. 30, 2020
Accepted: --
Published Online: Mar. 31, 2022
The Author Email: Ya-chun MAO (dbdxmyc@163.com)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20