Modelling of Microhardness Values by Means of Artificial Neural Networks of Al/Sicp Metal Matrix Composite Material Couples Processed with Diffusion Method

Mustafa Taşkın, Ugur Çalıgülü
2006 Mathematical and Computational Applications  
In this study, modelling of microhardness values by means of artificial neural networks of Al/SiC p metal matrix composite material couples with diffusion method and manufactured by powder metallurgy process, were obtained using a backpropagation neural network that uses gradient descent learning algorithm. After diffusion bonding and relevant test, to prepare the training and test (checking) set of the network, results were recorded in a file on a computer. Then, the neural network was trained
more » ... network was trained using the prepared training set. At the end of the training process, the test data were used to check the system accuracy. As a result the neural network was found successful in the prediction of modelling of microhardness values of Al/SiC p metal matrix composite material couples processed with diffusion method and behavior.
doi:10.3390/mca11020163 fatcat:dbsfr7a255dqdhm3bnt2ciu6uy