Simultaneous Electrochemical Determination of Glue and Thiourea in Copper Refining by Using Artificial Neural Network

被引：0
|
作者：
Rezaei, Efat [1 ]
机构：
[1] Sarcheshme Copper Complex, R&D Div, Hydromet Dept, Kerman, Iran
来源：
PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, KNOWLEDGE ENGINEERING AND DATA BASES | 2009年
关键词：
ANN; glue; thiourea; copper refining; electrochemical determination; sigmoid transfer function;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this research an artificial neural network was invented for simultaneous determination of both glue and thiourea in industrial electrolytes. First, a network was designed, which electrochemical data was its input. This network consisted of three layers of nodes, and back propagation rule was used for training the network. Sigmoid transfer function was applied in the hidden and output layers. The precision and accuracy of model was tested. The resulting MSE (Mean Square Error) for prediction of glue and thiourea were 0.0011 and 0.0008 respectively.
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页码：154 / +
页数：2
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