Predictive Modeling of Copper in Electro-deposition of Bronze Using Regression and Neural Networks
K. G. Subramanian, V. Periasamy, Malathy Pushpavanam, Karthik Ramasamy · Portugaliae electrochimica acta · 2009
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.