@ARTICLE{Trzaska_J._A_2018, author={Trzaska, J.}, volume={vol. 63}, number={No 4}, journal={Archives of Metallurgy and Materials}, pages={2009-2015}, howpublished={online}, year={2018}, publisher={Institute of Metallurgy and Materials Science of Polish Academy of Sciences}, publisher={Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences}, abstract={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.}, type={Artykuły / Articles}, title={A New Neural Networks Model for Calculating the Continuous Cooling Transformation Diagrams}, URL={http://journals.pan.pl/Content/109178/PDF/AMM-2018-4-59-Trzaska.pdf}, doi={10.24425/amm.2018.125137}, keywords={CCT diagram, modelling, neural network, heat treatment, steel}, }