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

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Published

2019-11-05

How to Cite

Parfeniuk, O. I., Naumchuk, O. M., Poliukhovych, O. O., & Mazurek, P. (2019). The implementation of optimized neural network to improve the accuracy of flow measurement by ultrasonic flowmeter. Modeling, Control and Information Technologies, (3), 193–194. https://doi.org/10.31713/MCIT.2019.20

Issue

No. 3 (2019): Modeling, control and information technologies

Section

Information technologies, robotics and artificial intelligence

License

All materials are distributed under the terms of the Creative Commons Attribution 4.0 International License, which allows others to distribute the work with attribution to the authorship of this work and the first publication in this journal.