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Journal Articles

Prediction of flow stress during hot deformation of MA'ed hybrid aluminium nanocomposite employing artificial neural network and Arrhenius constitutive model

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H. Ahamed, V. Senthilkumar
Journal: Multidiscipline Modeling in Materials and Structures
Multidiscipline Modeling in Materials and Structures (2012) 8 (2): 136–158.
https://doi.org/10.1108/15736101211251185
Published: 10 August 2012
.... Senthilkumar can be contacted at: vskumar@nitt.edu © Emerald Group Publishing Limited 2012 Nanocomposites ANN Constitutive modeling Flow stress Logsig Neural nets Artificial intelligence Modelling It is well known that experimental studies are reliable and pragmatic; much studies...
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Journal Articles

Effect of network variables on the artificial neural network models for yield strength of austenitic stainless steel

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K. Das, D.R. Poddar, M.K. Banerjee
Journal: Multidiscipline Modeling in Materials and Structures
Multidiscipline Modeling in Materials and Structures (2010) 6 (3): 383–398.
https://doi.org/10.1108/15736101011080123
Published: 24 September 2010
.... As a result, the weights assignable to less relevant inputs are made to approach zero. © Emerald Group Publishing Limited 2010 Neural nets Mechanical properties of materials Stainless steel Yield strength Successful modeling of mechanical properties of metallic materials confronts...
View article titled, Effect of network variables on the artificial neural network models for yield strength of austenitic stainless steel
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