Публікація: Nonlinearity Correction in Dynamic Measuring Devices Using Neural Network Models
Завантаження...
Дата
2020
Назва журналу
ISSN журналу
Назва тома
Видавництво
Анотація
A neural network compensator for the nonlinearity of a dynamic measuring instrument is proposed, which allows restoring the value of the measured input signal. The inverse model of a nonlinear dynamic measuring device is implemented based on a three-layer perceptron supplemented by delay lines of input signals. The properties of the proposed neural network compensator are studied through simulation computer modelling using various types of calibration input signals for the training of an artificial neural network.
Опис
Ключові слова
artificial neural network, three-layer perceptron, training, inverse model, neural network compensator
Бібліографічний опис
Ravashdeh L. A. M. Nonlinearity Correction in Dynamic Measuring Devices Using Neural Network Models / L.A.M. Ravashdeh, I. Zakharov, O. Zaporozhets // Pomiary Automatica Robotyka, 2020, №4. - P. 57-60