APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR PREDICTING ROUGHNESS AT CLEANING AND GETTING POINT
Journal: Bulletin of Belgorod State Technological University named after V G Shukhov
Year: 2019

A technique for the development of artificial neural networks to predict the roughness of the treated surface during finishing and semi-finishing turning is presented. The back-propagation network architecture was adopted, having an input, hidden and output layers, a sigmoidal activation function for the hidden layer and a linear one for the output layer. To form a training sample, empirical expressions in the form of power functions were used, training of networks was carried out according to t