| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1563041 | Computational Materials Science | 2009 | 4 Pages |
Abstract
The effect of MnS concentration on the grain size of nano-crystalline Cd1âxMnxS 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 Cd1âxMnxS 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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Authors
P. Jajarmi, S. Valipour,