Utilizing Artificial Neural Networks and Combined Capacitance-Based Sensors to Predict Void Fraction in Two-Phase Annular Fluids Regardless of Liquid Phase Type.
Mustafa A. Al-FayoumiHani Mahmoud Al-MimiAryan VeisiHussain Al-AqrabiMohammad Sh. DaoudEhsan Eftekhari-ZadehPublished in: IEEE Access (2023)
Keyphrases
- artificial neural networks
- data fusion
- using artificial neural networks
- sensor networks
- computational intelligence
- machine learning
- multi sensor
- back propagation
- high speed
- neural network model
- sensor fusion
- sensor data
- high frequency
- numerical simulations
- multilayer perceptron
- genetic algorithm
- database
- transmission line
- predicting future