Open AccessEstimation of Dynamical Neuron Nets’ Errors for Measuring Systems
Author(s) -
Leit Akhmed Mustafa Al Ravashdekh,
I. V. Ruzhentsev
Publication year - 2018
Publication title -
metrologìâ ta priladi
Language(s) - English
Resource type - Journals
eISSN - 2663-9564
pISSN - 2307-2180
DOI - 10.33955/2307-2180(3)2018.33-35
Subject(s) - kalman filter , computer science , artificial neural network , artificial intelligence , position (finance) , nonlinear system , machine learning , data mining , control engineering , engineering , physics , finance , quantum mechanics , economics
In the work based on the analysis of application of satellite navigation systems for determining position of moving traffic objects is proposed during the processing of the digital measurement data using artificial neural network. To perform modeling of nonlinear dynamic systems, it is suggested to use recurrent network architectures and a learning algorithm based on the theory of Kalman filters.