Spectroscopy and Spectral Analysis, Volume. 40, Issue 8, 2546(2020)
Hyperspectral SFIM-RFR Model on Predicting the Total Iron Contents of Iron Ore Powders
[1] [1] Hu H, Tang Y, Ying H, et al. Talanta, 2014, 125: 425.
[9] [9] Liu Y, Chen Y. International Journal of Remote Sensing, 2012, 33(18): 5954.
[10] [10] Basayigit L, Dedeoglu M, Akgul H. Turkish Jouranal of Agriculture and Forestry, 2015, 39(1): 123.
[11] [11] Guo Y M, Guo L B, Hao Z Q, et al. Journal of Analytical Atomic Spectrometry, 2018, 33(8): 1330.
[14] [14] Breiman L. Machine Learning, 2001, 45(1): 5.
Get Citation
Copy Citation Text
GAO Wei, YANG Ke-ming, LI Meng-qian, LI Yan-ru, HAN Qian-qian. Hyperspectral SFIM-RFR Model on Predicting the Total Iron Contents of Iron Ore Powders[J]. Spectroscopy and Spectral Analysis, 2020, 40(8): 2546
Received: Dec. 9, 2019
Accepted: --
Published Online: Dec. 3, 2020
The Author Email: Ke-ming YANG (ykm69@163.com)