The Prediction of the As-cast Ductile Iron Impact Toughness by Using Artificial Neutral Network and Chemical Composition (CROSBI ID 541230)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Glavaš, Zoran ; Unkić, Faruk ; Terzić, Katarina
engleski
The Prediction of the As-cast Ductile Iron Impact Toughness by Using Artificial Neutral Network and Chemical Composition
This paper present the application of artificial neural network in the production process of ductile iron. A backpropagation neural network has been established to predict the as-cast ductile irons impact toughness by using chemical compositions as inputs. The generalization property of the developed artificial neural network is very good, which is confirmed by a very good accordance between the predicted and the targeted values of the ascast impact toughness on a new data set that was not included in the training data set.
ductile iron ; impact toughness ; artificial neural network
Puni terkst rada objavljen na CR-u, ISBN 978-953- 7040-14-7.
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Podaci o prilogu
83-89.
2008.
objavljeno
Podaci o matičnoj publikaciji
Zbornik savjetovanja o materijalima, tehnologijama, trenju i trošenju, MATRIB 2008
Grilec, Krešimir ; Marić, Gojko ; Jakovljević, Suzana
Zagreb: Hrvatsko društvo za materijale i tribologiju (HDMT)
978-953-7040-13-0
Podaci o skupu
Savjetovanje o materijalima, tehnologijama, trenju i trošenju, MATRIB 2008
poster
26.06.2008-28.06.2008
Vela Luka, Hrvatska