Resumen

SUBRAMANIAN, K.; PERIASAMY, V.M.; PUSHPAVANAM, M.  y  RAMASAMY, K.. Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks. Port. Electrochim. Acta [online]. 2009, vol.27, n.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.

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

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