Modelling of A Flow Meter through Machine learning

Different machine learning models for an electrostatic flow meter were introduced in this paper to establish non-linear relationship among multiple variables based on experimental results. These models are evaluated and the results are discussed.

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Bibliographic Details
Published in2020 IEEE Sensors pp. 1 - 4
Main Authors Yan, Bing, Zhang, Jianyong, Cheng, Ruixue, Liu, Chenhua
Format Conference Proceeding
LanguageEnglish
Published IEEE 25.10.2020
Subjects
ANN
Artificial neural networks
Atmospheric modeling
Data models
electrostatic flow meter
Electrostatics
Machine learning
Mathematical model
Polynomial regression
Solids
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Summary:Different machine learning models for an electrostatic flow meter were introduced in this paper to establish non-linear relationship among multiple variables based on experimental results. These models are evaluated and the results are discussed.
ISSN:2168-9229
DOI:10.1109/SENSORS47125.2020.9278524