A Robust Method to Predict Equilibrium and Kinetics of Sulfur and Nitrogen Compounds Adsorption from Liquid Fuel on Mesoporous Material

A Robust Method to Predict Equilibrium and Kinetics of Sulfur and Nitrogen Compounds Adsorption from Liquid Fuel on Mesoporous Material

This study presents a robust and rigorous method based on intelligent models, namely radial basis function networks optimized by particle swarm optimization (PSO-RBF), multilayer perceptron neural networks (MLP-NNs), and adaptive neuro-fuzzy inference system optimized by particle swarm optimization...

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Bibliographic Details
Main Authors: Mohammadreza Khosravi-Nikou, Ahmad Shariati, Mohammad Mohammadian, Ali Barati, Adel Najafi-Marghmaleki
Format: Article
Language:English
Published: Petroleum University of Technology 2020-04-01
Series:Iranian Journal of Oil & Gas Science and Technology
Subjects:
adsorption
denitrogenation
desulfurization
equilibrium and kinetics model
pso-anfis
Online Access:http://ijogst.put.ac.ir/article_109826_12c8184631716adaef9d16b763ba3d5f.pdf

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