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.
引用
收藏
页码：154 / +
页数：2
相关论文
共 50 条
  • [41] Site Characterization Model Using Artificial Neural Network and Kriging
    Samui, Pijush
    Sitharam, T. G.
    INTERNATIONAL JOURNAL OF GEOMECHANICS, 2010, 10 (05) : 171 - 180
  • [42] Prediction of plywood bonding quality using an artificial neural network
    Garcia Esteban, Luis
    Garcia Fernandez, Francisco
    de Palacios, Paloma
    HOLZFORSCHUNG, 2011, 65 (02) : 209 - 214
  • [43] Air pollution prediction by using an artificial neural network model
    Heidar Maleki
    Armin Sorooshian
    Gholamreza Goudarzi
    Zeynab Baboli
    Yaser Tahmasebi Birgani
    Mojtaba Rahmati
    Clean Technologies and Environmental Policy, 2019, 21 : 1341 - 1352
  • [44] Temperature sensing in BOTDA system by using artificial neural network
    Azad, A. K.
    Wang, L.
    Guo, N.
    Lu, C.
    Tam, H. Y.
    ELECTRONICS LETTERS, 2015, 51 (20) : 1578 - 1579
  • [45] Design of Electromyography classification system using artificial neural network
    Horinek, Frantisek
    Jagelka, Martin
    Daricek, Martin
    Sladek, Eubomir
    Hanic, Michal
    Satka, Alexander
    2014 24TH INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA 2014), 2014,
  • [46] Using artificial neural network in determining postharvest LIFE of kiwifruit
    Torkashvand, Ali Mohammadi
    Ahmadi, Abbas
    Gomez, Perla A.
    Maghoumi, Mahshad
    JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2019, 99 (13) : 5918 - 5925
  • [47] Classification of Dynamic Egg Weight Using Artificial Neural Network
    Cimen, Hasan
    Yabanova, Ismail
    2018 7TH INTERNATIONAL CONFERENCE ON COMPUTERS COMMUNICATIONS AND CONTROL (ICCCC 2018), 2018, : 302 - 305
  • [48] Design of Digital Recursive Filter Using Artificial Neural Network
    Bature, Amir A.
    Adamu, Sunusi S.
    INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, IMECS 2012, VOL I, 2012, : 35 - 38
  • [49] Modeling shotcrete mix design using artificial neural network
    Muhammad, Khan
    Mohammad, Noor
    Rehman, Fazal
    COMPUTERS AND CONCRETE, 2015, 15 (02) : 167 - 181
  • [50] Modeling of wind speed for palestine using artificial neural network
    Khatib E.
    AlSadi S.
    Journal of Applied Sciences, 2011, 11 (14) : 2634 - 2639
12345