27 1Corrosion Inhibition and Adsorption Properties of Ethanol Extract of Vernonia Amygdalina for the Corrosion of Mild Steel in H2SO4Inhibition of the Corrosion of Zinc in H2SO4 by 9-deoxy-9a-aza-9a-methyl-9a-homoerythromycin A (Azithromycin) 
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Portugaliae Electrochimica Acta

 ISSN 0872-1904

SUBRAMANIAN, K.; PERIASAMY, V.M.; PUSHPAVANAM, M.    RAMASAMY, K.. Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks. []. , 27, 1, pp.47-55. ISSN 0872-1904.

The aim of this research is to obtain electrodeposits of copper-tin over mild steel substrate. The plating parameters were studied and a model is developed using Artificial Neural Networks (ANN). The electrodeposition of copper-tin was carried out from an alkaline cyanide bath. Copper content of coatings in alloy deposition was determined by using X-ray fluorescence spectroscopy. The results were used to create a model for the plating characteristics and also for studies using ANN. The ANN model is compared with the conventional mathematical regression model for analysis.

: electroplating; copper content; regression; neural network; model.

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