摘要
分析了在湿法炼锌中矾法除铁的影响因素 ,据此设计了神经网络模型 ,改进了算法 ,采用分割式网络结构 ,并用以预测沉矾的终点 ,仿真结果表明 ,该学习算法能比较准确地反映溶液中铁离子与酸浓度的变化。
The factors of jorsite process in zinc hydrometallurgy is analysed. The neural network model based on the analysis was developed. The results show that the network can reflect the change of concentration of iron ion and sulphuric acid fairly precisely.
出处
《矿冶工程》
CAS
CSCD
北大核心
2002年第4期69-72,共4页
Mining and Metallurgical Engineering
关键词
湿法炼锌
黄钾铁钒法
除铁
神经网络
zinc hydrometallurgy
jarosite process
deferrization
neural network
