|
基于XRF与RBF神经网络的锌浸出渣有价组分精准定量分析研究
|
李媛1,2 , 石垚2,* , 李绍元1,* , 何明星3, 张晨牧2, 李强2, 李会泉2,4 |
Accurate Quantitative Analysis of Valuable Components in Zinc Leaching Residue Based on XRF and RBF Neural Network
|
LI Yuan 1,2 , SHI Yao 2,* , LI Shao-yuan 1,* , HE Ming-xing 3, ZHANG Chen-mu 2, LI Qiang 2, LI Hui-quan 2,4
|
|
浸出渣B, C和D样品5种目标元素 RBF神经网络模型预测结果 (a):Cu; (b): Pb; (c): Zn; (d): Cd; (e): As |
|
|
 |
|
|