Open AccessThe implementation of optimized neural network to improve the accuracy of flow measurement by ultrasonic flowmeter
Author(s) -
Oleksandr Ihorovich Parfeniuk,
Oleksandr Naumchuk,
Olena Olehivna Poliukhovych,
Paweł Mazurek
Publication year - 2019
Publication title -
modeling, control and information technologies
Language(s) - English
Resource type - Journals
eISSN - 2707-1049
pISSN - 2707-1030
DOI - 10.31713/mcit.2019.20
Subject(s) - artificial neural network , ultrasonic sensor , flow measurement , ultrasonic flow meter , nonlinear system , computer science , flow (mathematics) , acoustics , electronic engineering , artificial intelligence , engineering , mathematics , physics , geometry , quantum mechanics , thermodynamics
It is proposed the technology of intellectual measurement of expenses with the use of an artificial neural network for overcoming the constraints caused by nonlinear characteristics of ultrasonic flowmeters. It is presented structural scheme of the proposed technology and structure of the model of the neural network