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The application of artificial neural network in the prediction of the as-cast impact toughness of spheroidal graphite cast iron (CROSBI ID 131943)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Glavaš, Zoran ; Lisjak, Dragutin ; Unkić, Faruk The application of artificial neural network in the prediction of the as-cast impact toughness of spheroidal graphite cast iron // Kovové materiály, 45 (2007), 1; 41-49

Podaci o odgovornosti

Glavaš, Zoran ; Lisjak, Dragutin ; Unkić, Faruk

engleski

The application of artificial neural network in the prediction of the as-cast impact toughness of spheroidal graphite cast iron

This paper presents the application of artificial neural network (ANN) in the foundry process. Two-layer feedforward neural network which is trained using backpropagation algorithm that updates weights and biases values according to gradient descent momentum and an adaptive learning rate (Backpropagation Neural Network- BPNN) has been established to predict the as- cast impact toughness of spheroidal graphite cast iron (SGI) using the thermal analysis (TA) parameters as inputs. Generalization property of the developed ANN is very good, which is confirmed by a very good accordance between the predicted and the targeted values of as-cast impact toughness on a new data set that was not included in the training data set.

spheroidal graphite cast iron ; impact toughness ; artificial neural networks ; thermal analysis

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Podaci o izdanju

45 (1)

2007.

41-49

objavljeno

0023-432X

1338-4252

Povezanost rada

Metalurgija

Poveznice