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This work presents a study on the applicability of radial base function (RBF) neural networks for prediction of Roughness Average (R a ) in the turning process of SAE 52100 hardened steel, with the use of Taguchi’s orthogonal arrays as a tool to design parameters of the network. Experiments were conducted with training sets of different sizes to make possible to compare the performance of...