A New Neural Network−Group Contribution Method for Estimation of Flash Point Temperature of Pure Components

Energy & Fuels ◽

10.1021/ef700753t ◽

2008 ◽

Vol 22 (3) ◽

pp. 1628-1635 ◽

Author(s):

Farhad Gharagheizi ◽

Reza Fareghi Alamdari ◽

Mahmood Torabi Angaji

Keyword(s):

Neural Network ◽

Flash Point ◽

Group Contribution ◽

Group Contribution Method ◽

Point Temperature

Download Full-text

A New Neural Network Group Contribution Method for Estimation of Upper Flash Point of Pure Chemicals

Industrial & Engineering Chemistry Research ◽

10.1021/ie1011273 ◽

2010 ◽

Vol 49 (24) ◽

pp. 12685-12695 ◽

Author(s):

Farhad Gharagheizi ◽

Reza Abbasi

Keyword(s):

Neural Network ◽

Flash Point ◽

Group Contribution ◽

Group Contribution Method

Download Full-text

Prediction of Flash Point Temperature of Organic Compounds Using a Hybrid Method of Group Contribution + Neural Network + Particle Swarm Optimization

Chinese Journal of Chemical Engineering ◽

10.1016/s1004-9541(09)60133-6 ◽

2010 ◽

Vol 18 (5) ◽

pp. 817-823 ◽

Author(s):

Juan A. Lazzús

Keyword(s):

Neural Network ◽

Particle Swarm Optimization ◽

Organic Compounds ◽

Hybrid Method ◽

Particle Swarm ◽

Flash Point ◽

Group Contribution ◽

Swarm Optimization ◽

Point Temperature

Download Full-text

Determination of Parachor of Various Compounds Using an Artificial Neural Network−Group Contribution Method

Industrial & Engineering Chemistry Research ◽

10.1021/ie102464t ◽

2011 ◽

Vol 50 (9) ◽

pp. 5815-5823 ◽

Author(s):

Farhad Gharagheizi ◽

Ali Eslamimanesh ◽

Amir H. Mohammadi ◽

Dominique Richon

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Group Contribution ◽

Group Contribution Method ◽

Artificial Neural

Download Full-text

Estimation of Pure Component Parameters of PC-SAFT EoS by an Artificial Neural Network Based on a Group Contribution Method

Fluid Phase Equilibria ◽

10.1016/j.fluid.2021.113179 ◽

2021 ◽

pp. 113179

Author(s):

Hiroaki Matsukawa ◽

Masayuki Kitahara ◽

Katsuto Otake

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Pure Component ◽

Group Contribution ◽

Group Contribution Method ◽

Artificial Neural

Download Full-text

Artificial Neural Network Based Group Contribution Method for Estimating Cetane and Octane Numbers of Hydrocarbons and Oxygenated Organic Compounds

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.7b02753 ◽

2017 ◽

Vol 56 (42) ◽

pp. 12236-12245 ◽

Author(s):

William L. Kubic ◽

Rhodri W. Jenkins ◽

Cameron M. Moore ◽

Troy A. Semelsberger ◽

Andrew D. Sutton

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Organic Compounds ◽

Group Contribution ◽

Group Contribution Method ◽

Artificial Neural

Download Full-text

Representation/Prediction of Solubilities of Pure Compounds in Water Using Artificial Neural Network−Group Contribution Method

Journal of Chemical & Engineering Data ◽

10.1021/je101061t ◽

2011 ◽

Vol 56 (4) ◽

pp. 720-726 ◽

Author(s):

Farhad Gharagheizi ◽

Ali Eslamimanesh ◽

Amir H. Mohammadi ◽

Dominique Richon

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Group Contribution ◽

Group Contribution Method ◽

Pure Compounds ◽

Artificial Neural

Download Full-text

Artificial Neural Network Investigation of the Structural Group Contribution Method for Predicting Pure Components Auto Ignition Temperature

Industrial & Engineering Chemistry Research ◽

10.1021/ie0300373 ◽

2003 ◽

Vol 42 (22) ◽

pp. 5708-5714 ◽

Author(s):

Tareq A. Albahri ◽

Reena S. George

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Ignition Temperature ◽

Group Contribution ◽

Group Contribution Method ◽

Structural Group ◽

Auto Ignition ◽

Artificial Neural

Download Full-text

Liquid density prediction of five different classes of refrigerant systems (HCFCs, HFCs, HFEs, PFAs and PFAAs) using the artificial neural network-group contribution method

International Journal of Refrigeration ◽

10.1016/j.ijrefrig.2014.09.007 ◽

2014 ◽

Vol 48 ◽

pp. 188-200 ◽

Author(s):

Majid Moosavi ◽

Elaheh Sedghamiz ◽

Maryam Abareshi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Group Contribution ◽

Liquid Density ◽

Group Contribution Method ◽

Density Prediction ◽

Artificial Neural

Download Full-text

Prediction of the specific volume of polymeric systems using the artificial neural network-group contribution method

Fluid Phase Equilibria ◽

10.1016/j.fluid.2013.07.004 ◽

2013 ◽

Vol 356 ◽

pp. 176-184 ◽

Author(s):

Majid Moosavi ◽

Nima Soltani

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Specific Volume ◽

Group Contribution ◽

Group Contribution Method ◽

Polymeric Systems ◽

Artificial Neural

Download Full-text

Prediction of hydrocarbon densities using an artificial neural network–group contribution method up to high temperatures and pressures

Thermochimica Acta ◽

10.1016/j.tca.2013.01.038 ◽

2013 ◽

Vol 556 ◽

pp. 89-96 ◽

Author(s):

Majid Moosavi ◽

Nima Soltani

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

High Temperatures ◽

Group Contribution ◽

Group Contribution Method ◽

Artificial Neural

Download Full-text