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

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

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<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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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:
Artificial Neural Network, Simulation, Copper metal regenerated , Electrolytic cells
Online Access:http://www.tj-es.com/ojs/index.php/tjes/article/view/171
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author Muzher M. Ibrahem
Ahmed D. Wiheeb
Saba A. Gheni
author_facet Muzher M. Ibrahem
Ahmed D. Wiheeb
Saba A. Gheni
author_sort Muzher M. Ibrahem
collection DOAJ
description <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>
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spelling doaj.art-67c6de8c6e4d4a18b449d7f37f7221802023-09-03T00:22:52ZengTikrit UniversityTikrit Journal of Engineering Sciences1813-162X2312-75892015-02-01172921116Estimating Of Etchant Copper Concentration In The Electrolytic Cell Using Artificial Neural NetworksMuzher M. IbrahemAhmed D. WiheebSaba A. Gheni<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>http://www.tj-es.com/ojs/index.php/tjes/article/view/171Artificial Neural Network, Simulation, Copper metal regenerated , Electrolytic cells
spellingShingle Muzher M. Ibrahem
Ahmed D. Wiheeb
Saba A. Gheni
Estimating Of Etchant Copper Concentration In The Electrolytic Cell Using Artificial Neural Networks
Tikrit Journal of Engineering Sciences
Artificial Neural Network, Simulation, Copper metal regenerated , Electrolytic cells
title Estimating Of Etchant Copper Concentration In The Electrolytic Cell Using Artificial Neural Networks
title_full Estimating Of Etchant Copper Concentration In The Electrolytic Cell Using Artificial Neural Networks
title_fullStr Estimating Of Etchant Copper Concentration In The Electrolytic Cell Using Artificial Neural Networks
title_full_unstemmed Estimating Of Etchant Copper Concentration In The Electrolytic Cell Using Artificial Neural Networks
title_short Estimating Of Etchant Copper Concentration In The Electrolytic Cell Using Artificial Neural Networks
title_sort estimating of etchant copper concentration in the electrolytic cell using artificial neural networks
topic Artificial Neural Network, Simulation, Copper metal regenerated , Electrolytic cells
url http://www.tj-es.com/ojs/index.php/tjes/article/view/171
work_keys_str_mv AT muzhermibrahem estimatingofetchantcopperconcentrationintheelectrolyticcellusingartificialneuralnetworks
AT ahmeddwiheeb estimatingofetchantcopperconcentrationintheelectrolyticcellusingartificialneuralnetworks
AT sabaagheni estimatingofetchantcopperconcentrationintheelectrolyticcellusingartificialneuralnetworks

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