TY - JOUR N2 - The article shows a new model of Continuous Cooling Transformation (CCT) diagrams of structural steels and engineering steels. The modelling used artificial neural networks and a set of experimental data prepared based on 550 CCT diagrams published in the literature. The model of CCT diagrams forms 17 artificial neural networks which solve classification and regression tasks. Neural model is implemented in a computer software that enables calculation of a CCT diagram based on chemical composition of steel and its austenitizing temperature. L1 - http://journals.pan.pl/Content/109178/PDF/AMM-2018-4-59-Trzaska.pdf L2 - http://journals.pan.pl/Content/109178 PY - 2018 IS - No 4 EP - 2015 DO - 10.24425/amm.2018.125137 KW - CCT diagram KW - modelling KW - neural network KW - heat treatment KW - steel A1 - Trzaska, J. PB - Institute of Metallurgy and Materials Science of Polish Academy of Sciences PB - Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences VL - vol. 63 DA - 2018.12.12 T1 - A New Neural Networks Model for Calculating the Continuous Cooling Transformation Diagrams SP - 2009 UR - http://journals.pan.pl/dlibra/publication/edition/109178 T2 - Archives of Metallurgy and Materials ER -