Ozerdem, Mehmet SiracKolukisa, Sedat2024-04-242024-04-2420080924-0136https://doi.org/10.1016/j.jmatprotec.2007.06.071https://hdl.handle.net/11468/15678In this study, Artificial Neural Network approach to predict mechanical properties of, hot rolled, nonresulfurized, AISI 10xx series carbon steel bars were obtained using a back-propagation neural network that uses gradient descent learning algorithm. In Artificial Neural Network training module, C%, Si%, Mn% contents were employed as input and tensile strength, yield strength, elongation, reduction in area, hardness were used as outputs. ANN system was trained using the prepared training set (also known as learning set). After training process, the test data were used to check system accuracy. As a result the neural network was found successful for the prediction of mechanical properties of, hot rolled, nonresulfurized, AISI 10xx series carbon steels under given conditions. (C) 2007 Elsevier B.V. All rights reserved.eninfo:eu-repo/semantics/closedAccessArtificial Neural NetworkPrediction Of Mechanical Properties10xx Series Steel BarsArticle1991-3437439WOS:0002530051000542-s2.0-3754900517110.1016/j.jmatprotec.2007.06.071Q1Q2