In this article there is investigated a possiblity of appllying an adaptive identification algorithm for measuring transducers identification, which are modelled by dynamic elements of both aperiodic and periodic types, based on multilayer artificial neural network. The ways of neural network training and applying are given, as well as merits and demerits of this identification method. Several examples of transducers measuring characteristics identification are given.
measuring transducers, dynamic element, dynamic characteristic, pulse characteristic, artificial neural network
“Primenenie adaptivnogo algoritma identifikatsii dinamicheskikh kharakteristik izmeritelnykh preobrazovatelei na baze iskusstvennykh neironnykh setei” [The artificial neural networks based identification algorithm application for measuring transducers],
Information Processing Systems,