Title of article
Modeling the oxidation behavior of hot pressed nanocrystalline Cr–33Nb alloys
Author/Authors
Jajarmi، نويسنده , , P. and Valipour، نويسنده , , S.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2009
Pages
5
From page
106
To page
110
Abstract
The oxidation behavior of hot pressed nanocrystalline Cr–33Nb alloys 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 oxidation behavior of hot pressed nanocrystalline Cr–33Nb alloys. The optimum number of the neurons and hidden layers to do this simulation was 16 and 16, respectively.
Keywords
Artificial neural networks , Oxidation , Nanocrystalline Cr–33Nb
Journal title
Computational Materials Science
Serial Year
2009
Journal title
Computational Materials Science
Record number
1686947
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