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Can I read Artificial neural network approach to predict the electrical conductivity and density of Ag–Ni binary alloys on EtoBox?
Artificial neural network approach to predict the electrical conductivity and density of Ag–Ni binary alloys by Mehmet Sirac Ozerdem is a Engineering article available to read on EtoBox.
What is Artificial neural network approach to predict the electrical conductivity and density of Ag–Ni binary alloys about?
In this study, artificial neural network (ANN) approach was done to predict electrical conductivity and density of silver-nickel binary alloys using a back-propagation neural network that uses gradient descent learning algorithm. In ANN training module, Ag% and Ni% (weight) contents were employed as input and electrical conductivity, calculated and typical density were used as outputs. ANN system was trained using the prepared training set (also known as learning set). After training process, the test data were used to check system accuracy. As a result the neural network was found successful for the prediction of electrical conductivity and density of silver nickel binary alloys.
Who reads Artificial neural network approach to predict the electrical conductivity and density of Ag–Ni binary alloys?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Mehmet Sirac Ozerdem
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0924-0136)
- Published
- 2008
- Language
- EN
- Field
- Engineering (Physical Sciences)