Spectroscopy and Spectral Analysis, Volume. 42, Issue 2, 490(2022)
Accurate Quantitative Analysis of Valuable Components in Zinc Leaching Residue Based on XRF and RBF Neural Network
References(7)
[2] Huguenot David, Lens Piet N L, Sethurajan Manivannan et al[D]. Environmental Science and Pollution Research International, 23, 75024(2016).
[3] Fereshteh Rashchi, Melina Roshanfar, Misagh Khanlarian et al[D]. Journal of Cleaner Production, 266(2020).
[5] Bolshov M A, Ossipov K, Seregina I F[D]. Spectrochimica Acta Part B: Atomic Spectroscopy, 177, 106050(2021).
[6] Komorowicz I, Markiewicz B, Sajnóg A Belter et al[D]. Talanta, 132, 814(2015).
[7] [D]. Materials and Manufacturing Processes, 35, 1455(2020).
[8] Eglantina Merkaj, Nikolla Civici[D]. Open Journal of Applied Sciences, 10, 305(2020).
[9] Backhouse D J, Bell A M T, Deng W et al[D]. Minerals, 10, 442(2020).
Tools
Get Citation
Copy Citation Text
Yuan LI, Yao SHI, Shao-yuan LI, Ming-xing HE, Chen-mu ZHANG, Qiang LI, Hui-quan LI. Accurate Quantitative Analysis of Valuable Components in Zinc Leaching Residue Based on XRF and RBF Neural Network[J]. Spectroscopy and Spectral Analysis, 2022, 42(2): 490
Paper Information
Category: Research Articles
Received: Dec. 25, 2020
Accepted: Apr. 28, 2021
Published Online: Apr. 2, 2022
The Author Email:
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20