Title : ( Application of adaptive neuro-fuzzy inference system for solubility prediction of carbon dioxide in polymers )
Authors: Aboozar Khajeh , Hamid Modarress , Babak Rezaee Khabooshan ,
دانلود فایل برای اعضای دانشگاهAccess to full-text not allowed by authors
Abstract
Solubility of carbon dioxide in poly(vinyl acetate) (PVAc), poly(2,6-dimethyl-1,4-phenylene ether) (PPO), polypropylene (PP), and high-density polyethylene (HDPE), poly(butylene succinate) (PBS), poly(butylene succinate-co-adipate) (PBSA) and polystyrene (PS) are modeled by adaptive neuro-fuzzy inference system (ANFIS) in wide range of pressure and temperature. The results obtained in this work indicate that ANFIS is effective method for prediction of solubility of carbon dioxide in polymers and have better accuracy and simplicity compared with the classical methods.
Keywords
, Solubility; Carbon dioxide; Polymer; Artificial neural network; Adaptive neuro, fuzzy inference system
@article{paperid:1035848,
author = {Aboozar Khajeh and Hamid Modarress and Rezaee Khabooshan, Babak},
title = {Application of adaptive neuro-fuzzy inference system for solubility prediction of carbon dioxide in polymers},
journal = {Expert Systems with Applications},
year = {2009},
volume = {36},
number = {3},
month = {April},
issn = {0957-4174},
pages = {5728--5732},
numpages = {4},
keywords = {Solubility; Carbon dioxide; Polymer; Artificial neural network; Adaptive neuro-fuzzy inference system},
}
%0 Journal Article
%T Application of adaptive neuro-fuzzy inference system for solubility prediction of carbon dioxide in polymers
%A Aboozar Khajeh
%A Hamid Modarress
%A Rezaee Khabooshan, Babak
%J Expert Systems with Applications
%@ 0957-4174
%D 2009
