Estimating Of Etchant Copper Concentration In The Electrolytic Cell Using Artificial Neural Networks

<p>In  this paper, Artificial Neural Networks (ANN), which are known for their ability to model nonlinear systems, provide accurate approximations of system behavior and are typically much more <a id="_GPLITA_0" style="border: none !important; display: inline-block !important...

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Bibliographic Details
Main Authors: Muzher M. Ibrahem, Ahmed D. Wiheeb, Saba A. Gheni
Format: Article
Language:English
Published: Tikrit University 2015-02-01
Series:Tikrit Journal of Engineering Sciences
Subjects:
Online Access:http://www.tj-es.com/ojs/index.php/tjes/article/view/171
Description
Summary:<p>In  this paper, Artificial Neural Networks (ANN), which are known for their ability to model nonlinear systems, provide accurate approximations of system behavior and are typically much more <a id="_GPLITA_0" style="border: none !important; display: inline-block !important; text-indent: 0px !important; float: none !important; font-weight: bold !important; height: auto !important; margin: 0px !important; min-height: 0px !important; min-width: 0px !important; padding: 0px !important; text-transform: uppercase !important; text-decoration: underline !important; vertical-align: baseline !important; width: auto !important; background: transparent !important;" title="Click to Continue &gt; by LizardSales" href="#">computationally<img style="border: none !important; display: inline-block !important; text-indent: 0px !important; float: none !important; font-weight: bold !important; height: 10px !important; margin: 0px 0px 0px 3px !important; min-height: 0px !important; min-width: 0px !important; padding: 0px !important; text-transform: uppercase !important; text-decoration: underline !important; vertical-align: super !important; width: 10px !important; background: transparent !important;" src="http://cdncache-a.akamaihd.net/items/it/img/arrow-10x10.png" alt="" /></a> efficient than phenomenological models  are used to predict the etchant copper concentration in the electrolytic <a id="_GPLITA_0" style="border: none !important; display: inline-block !important; text-indent: 0px !important; float: none !important; font-weight: bold !important; height: auto !important; margin: 0px !important; min-height: 0px !important; min-width: 0px !important; padding: 0px !important; text-transform: uppercase !important; text-decoration: underline !important; vertical-align: baseline !important; width: auto !important; background: transparent !important;" title="Click to Continue &gt; by LizardSales" href="#">cell<img style="border: none !important; display: inline-block !important; text-indent: 0px !important; float: none !important; font-weight: bold !important; height: 10px !important; margin: 0px 0px 0px 3px !important; min-height: 0px !important; min-width: 0px !important; padding: 0px !important; text-transform: uppercase !important; text-decoration: underline !important; vertical-align: super !important; width: 10px !important; background: transparent !important;" src="http://cdncache-a.akamaihd.net/items/it/img/arrow-10x10.png" alt="" /></a> in terms of electric potential, operating time, temperature of the electrolytic cell , <a id="_GPLITA_1" style="border: none !important; display: inline-block !important; text-indent: 0px !important; float: none !important; font-weight: bold !important; height: auto !important; margin: 0px !important; min-height: 0px !important; min-width: 0px !important; padding: 0px !important; text-transform: uppercase !important; text-decoration: underline !important; vertical-align: baseline !important; width: auto !important; background: transparent !important;" title="Click to Continue &gt; by LizardSales" href="#">ratio<img style="border: none !important; display: inline-block !important; text-indent: 0px !important; float: none !important; font-weight: bold !important; height: 10px !important; margin: 0px 0px 0px 3px !important; min-height: 0px !important; min-width: 0px !important; padding: 0px !important; text-transform: uppercase !important; text-decoration: underline !important; vertical-align: super !important; width: 10px !important; background: transparent !important;" src="http://cdncache-a.akamaihd.net/items/it/img/arrow-10x10.png" alt="" /></a> of surface area of poles per unit volume of solution  and the distance between poles. In this paper 350 sets of data are used to trained and test the network.. The best results were achieved using a model based on a feedforword Artificial Neural Network (ANN) with one hidden layer and fifteen neurons in the hidden layer gives a very close prediction of the copper concentration in the electrolytic cell.</p>
ISSN:1813-162X
2312-7589