Determination of critical properties and acentric factors of pure compounds using the artificial neural network group contribution algorithm

Journal of Chemical and Engineering Data

Volumn 56, Issue 5, 2011, Pages 2460-2476

  Gharagheizi, Farhad ^a   Eslamimanesh, Ali ^b   Mohammadi, Amir H ^b,c   Richon, Dominique ^b  

^a Saman Energy Giti Co   (Iran)

^b PSL RESEARCH UNIVERSITY   (France)

^c UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

ABSOLUTE AVERAGE DEVIATION; ACENTRIC FACTORS; ARTIFICIAL NEURAL NETWORK; CHEMICAL FAMILY; CRITICAL PRESSURES; CRITICAL PROPERTIES; CRITICAL TEMPERATURES; CRITICAL VOLUME; EXPERIMENTAL VALUES; PREDICTIVE MODELS; PURE COMPOUNDS;

CHEMICAL COMPOUNDS; PRESSURE;

NEURAL NETWORKS;

EID: 79955878346     PISSN: 00219568     EISSN: 15205134     Source Type: Journal    
DOI: 10.1021/je200019g     Document Type: Article

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