Repository of Research and Investigative Information

Repository of Research and Investigative Information

Kurdistan University of Medical Sciences

PRSV equation of state parameter modeling through artificial neural network and adaptive network-based fuzzy inference system

(2012) PRSV equation of state parameter modeling through artificial neural network and adaptive network-based fuzzy inference system. Korean Journal of Chemical Engineering.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Two different modeling methods have been proposed to relate the Peng-Robinson-Stryjek-Vera (PRSV) parameter, κ 1, to some common thermodynamic constants, including critical temperature (T c), critical pressure (P c), acentric factor (�) and molecular weight (Mw). The methods are artificial neural network (ANN) and adaptive networkbased fuzzy inference System (ANFIS). A set of 159 data points (116, 23 and 20) was used for construct training, validating and testing, respectively. The radius parameter of ANFIS was determined through genetic algorithm (GA) optimization technique. The ANN and especially ANFIS results are in a good agreement with most of the compound groups. © 2012 Korean Institute of Chemical Engineers, Seoul, Korea.

Item Type: Article
Keywords: Adaptive Network-Based Fuzzy Inference System; Artificial Neural Network; Genetic Algorithm; Peng-Robinson-Stryjek-Vera Parameter
Page Range: pp. 657-667
Journal or Publication Title: Korean Journal of Chemical Engineering
Volume: 29
Number: 5
Identification Number: 10.1007/s11814-011-0235-x
ISSN: 02561115
Depositing User: مهندس جمال محمودپور
URI: http://eprints.muk.ac.ir/id/eprint/1424

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