Abstract
Abstract The effect of MnS concentration on the grain size of nano-crystalline Cd 1− x Mn x S was modeled using a feed-forward multilayer perceptron artificial neural network model. It was found that the artificial neural networks model is an applicable method for prediction of the grain size of the Cd 1− x Mn x S nano-crystalline nickel coatings. The optimum number of the neurons and hidden layers to do this simulation was 16 and 8, respectively.
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