SELECTING THE ARCHITECTURE OF THE ARTIFICIAL NEURAL NETWORK TO DIAGNOSE THE DEFECTS IN THE BEARINGS BLANKETS
The article considers the issue related with the selection of the artificial neural network architecture used to diagnose the defects in the bearing blankets. A new algorithm has been developed to select the architecture of a network which reduces the recognition error.