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:: Volume 15, Number 45 (9-2014) ::
Zanko J Med Sci 2014, 15(45): 56-66 Back to browse issues page
Application of artificial neural network to modeling and optimization of removal of acid black1 using TiO2-Ni nanocoposite
Kamal Salehi , Behzad Shahmoradi, Afshin Maleki, Borhan Mansouri, Fardin Gharibi
Department of Environmental Health Engineering, School of Health, Kurdistan University of Medical Sciences, Sanandaj
Abstract:   (1801 Views)
ABSTRACT
Background and Aim: Artificial Neural Network is non-liner mapping structure based on the function of the human brain. They are powerful tools for modelling, especially when the underlying data relationship is known. So, the aim of this study was the used of artificial neural network to modelling and optimization of removal of acid black1 using TiO2-Ni nanocoposite. 
Material and Methods: This study was an applied research in which TiO2-Ni nanocoposite was synthesized and its chemical properties was evaluated by SEM. For experiments design, predicting, and modeling dye removal were used taguchi method, Artifial Nerual Network (ANNs). 
Result: The results showed that network with tan sigmoid transfer functions, Levenberg –Marquardt algorithm, one hidden layer and four neuron in hidden layer estimated better removal dye of acid black1. 
Conclusion: It is concluded that ANN model can estimate the behavior of the photocatalyst process under different experimental conditions.
Keywords: Acid Black 1, Artificial Neural Network, TiO2-Ni Nanocoposite.
Full-Text [PDF 552 kb]   (268 Downloads)    
Type of Study: Research | Subject: Special
Received: 2014/08/3 | Accepted: 2014/08/27 | Published: 2014/09/16
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Salehi K, Shahmoradi B, Maleki A, Mansouri B, Gharibi F. Application of artificial neural network to modeling and optimization of removal of acid black1 using TiO2-Ni nanocoposite. Zanko J Med Sci. 2014; 15 (45) :56-66
URL: http://zanko.muk.ac.ir/article-1-37-en.html
Volume 15, Number 45 (9-2014) Back to browse issues page
مجله علوم پزشکی زانکو Zanko Journal of Medical Sciences
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