The paper describes the scheme of machine learning using for the stress-strain state analysis of a rectangular plate with a circular cut-out. The plate might be of arbitrary sizes and the cut-out might be of an arbitrary radius. Each side of the plate is supposed to be free, supported or fixed. Additional input parameters of the data set are following: size of plate’s side, thickness of the plate, Young’s modulus, Poison’s coefficient, and pressure load. Initial parameters have been random generated. The training set is generated by the finite element method. The artificial neural network merges numerical and one-hot input layers. The devel-oped regression model allows to predict von Mises stresses for a rectangular plate with a circular cut-out.