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Modeling capability of the artificial neural network (ANN) to predict the effect of the hot deformation parameters on the strength of Al-base metal matrix composites by Issam S Jalham is a Engineering article available to read on EtoBox.
What is Modeling capability of the artificial neural network (ANN) to predict the effect of the hot deformation parameters on the strength of Al-base metal matrix composites about?
The aim of this paper is to investigate the capability of the artificial neural network (ANN) to predict the effect of the hot deformation parameters on the strength of Al-base Metal Matrix Composites by comparing the results of the ANN predictions to the results of predictions by the RBF approach in our previous work. The experimental results of the hot deformation of 12 vol.% Al 2 O 3 Aluminum matrix composites under a range of temperatures and a range of strain rates were used in this investigation to be able to recognize the powerfulness of ANN against the RBF approach. The results showed that the filtrated ANN approach gives better results than RBF approach.
Who reads Modeling capability of the artificial neural network (ANN) to predict the effect of the hot deformation parameters on the strength of Al-base metal matrix composites?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Issam S Jalham
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0266-3538)
- Published
- 2003
- Language
- EN
- Field
- Engineering (Physical Sciences)