Have a personal or library account? Click to login
Prediction of the Natural Gas Compressibility Factor by using MLP and RBF Artificial Neural Networks Cover

Prediction of the Natural Gas Compressibility Factor by using MLP and RBF Artificial Neural Networks

Measurement Science Review
Volume 25 (2025): Issue 1 (February 2025)
By: Neven Kanchev,  Nikolay Stoyanov and  Georgi Milushev  
Open Access
|Feb 2025

Authors

Neven Kanchev

Department of Electrical Measurements, Technical University of Sofia, Bulgaria

Nikolay Stoyanov

n_stoyanov@tu-sofia.bg

Department of Electrical Measurements, Technical University of Sofia, Bulgaria

Georgi Milushev

Department of Electrical Measurements, Technical University of Sofia, Bulgaria
DOI: https://doi.org/10.2478/msr-2025-0001 | Journal eISSN: 1335-8871
Journal RSS Feed
Language: English
Page range: 1 - 9
Submitted on: Jul 18, 2024
|
Accepted on: Jan 8, 2025
|
Published on: Feb 24, 2025
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
natural gas,
compressibility factor,
artificial neural network,
multi-layer perceptron,
radial basis functions
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2025 Neven Kanchev, Nikolay Stoyanov, Georgi Milushev, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 25 (2025): Issue 1 (February 2025)Next article