Study of the Processes of Near Identical, Nanoprene, Neuro Progenitor Electric Drive

Abstract

The article deals with the artificial multilayer neural network with direct signal transmission and reverse error propagation, which operates in the mode of identification of static and dynamic characteristics of the electric drive. To study processes of nearly identical, nanoprene of neuroprogenitor has been developed by the research stand, which is described in the article. As a result of research on the stand, the results show that the neural network is well enough to identify the static and dynamic characteristics of the electric drive.