June 18, 2024
Majid Mohadesi

Majid Mohadesi

Academic rank: Associate professor
Address: Department of Chemical Engineering, Faculty of Engeenring, Kermanshah University of Technology (KUT), Imam Khomeini Highway, Kermanshah, Iran
Education: Ph.D in Chemical Engineering
Phone: 083-38305000 (1167, 1025)
Faculty: Faculty of Engineering

Research

Title
Prediction of wax disappearance temperature using artificial neural networks
Type Article
Keywords
wax disappearance temperature, waxy crude oil, artificial neural network, learning algorithm, hidden neurons
Researchers Gholamreza Moradi، Majid Mohadesi، Mohammad Reza Moradi

Abstract

In this study, the artificial neural network (ANN) was used for the prediction of WDT. The inputs to network are molar mass and pressure, and the output is WDT at each input. A two-layer network with different hidden neurons and different learning algorithms such as LM, SCG, GDA and BR were examined. The network with 16 hidden neurons and Levenberg–Marquardt (LM) train function showed the best results in comparison with the other networks. Also, the predicted results of this network were compared with the thermodynamic models and better accordance with experimental data for ANN was concluded.