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某铜铁矿尾矿库废水神经网络预测研究
引用本文:饶运章,侯运炳,潘建平,肖广哲,徐水太.某铜铁矿尾矿库废水神经网络预测研究[J].金属矿山,2003(11):49-51,63.
作者姓名:饶运章  侯运炳  潘建平  肖广哲  徐水太
作者单位:1. 中国矿业大学(北京校区)
2. 南方冶金学院
基金项目:国家自然科学基金资助项目 ( 5 0 2 64 0 0 3 ),江西省教育厅资助项目
摘    要:金属矿山尾矿库废水中含有H^ 、CN^-和多种金属离子,是矿区及其流域酸性污染和金属污染的主要污染源。在收集某铜铁矿尾矿库废水14年水质监测资料基础上,运用人工神经网络的改进BP算法对其8项水质指标进行了分析、分类和仿真预测,揭示了该矿尾矿库废水的污染特性,查清了主要污染物。

关 键 词:人工神经网络  尾矿库废水  水质预测  网络预测  铜铁矿

Study on Neural Network Prediction of Wastewater of Tailings Reservoir of A Copper-iron Mine
Rao Yunzhang,Hou Yunbin.Study on Neural Network Prediction of Wastewater of Tailings Reservoir of A Copper-iron Mine[J].Metal Mine,2003(11):49-51,63.
Authors:Rao Yunzhang  Hou Yunbin
Abstract:The wastewater of the tailings reservior of metal mine,which contains H +,CN - and many kinds of metal ions,is the major acid and metal pollution sourc in the mining district and its drainage area.Based on the collected 14 years' water quality information data of the wastewater of a copper-iron mine's tailings reservoir,the improved BP algorithm of artificial neural network is used to analyse,classify and predict by simulation of eight indexes of water quality exposing the pollution characteristics of the wasterwater of this mine's tailings and identifying the main polltants.
Keywords:Artificial neural network  Wastewater of tailings reservoir  Prediction of water quality
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