The implementation of optimized neural network to improve the accuracy of flow measurement by ultrasonic flowmeter

Authors

  • Oleksandr Ihorovich Parfeniuk NUWM
  • Oleksandr Mykolaiovych Naumchuk
  • Olena Olehivna Poliukhovych
  • Pawel Mazurek Faculty of Electrical Engineering and Computer Science, Politechnika Lubelska

DOI:

https://doi.org/10.31713/MCIT.2019.20

Keywords:

measurement, artificial neural network, ultrasonic flowmeter, flow, liquid, accuracy

Abstract

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

References

Downloads

Published

2019-11-05

Issue

2019: Modeling, control and information technologies: Proceedings of III International scientific and practical conference

Section

Information technologies, robotics and artificial intelligence

How to Cite

The implementation of optimized neural network to improve the accuracy of flow measurement by ultrasonic flowmeter. (2019). MCIT: Proceedings of International Scientific and Practical Conference, 3, 193-194. https://doi.org/10.31713/MCIT.2019.20