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 Yuan1,2, SHI Yao2,*, LI Shao-yuan1,*, HE Ming-xing3, ZHANG Chen-mu2, LI Qiang2, LI Hui-quan2,4
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