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

Автор(и)

  • 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

Ключові слова:

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

Анотація

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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Опубліковано

2019-11-05

Як цитувати

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. Моделювання, керування та інформаційні технології, (3), 193–194. https://doi.org/10.31713/MCIT.2019.20

Номер

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

Розділ

Information technologies, robotics and artificial intelligence