Modelling the solubility of 1,1,1,2-tetrafluoroethane, 1-chloro-1,1- difluoroethane, butane and iso-butane in LDPE with artificial neural network

Iranian Polymer Journal (English Edition)

Volumn 17, Issue 7, 2008, Pages 483-491

  Modarress, Hamid ^a   Mohsen Nia, Mohsen ^b   Safamirzaei, Mani ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b UNIVERSITY OF KASHAN   (Iran)

Author keywords

Artificial neural network; Back propagation; LDPE; Prediction; Solubility

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BUTANE; CORRELATION METHODS; EQUATIONS OF STATE; FORECASTING; IMAGE CLASSIFICATION; LIQUEFIED PETROLEUM GAS; MONOMERS; NEURAL NETWORKS; PARAMETER ESTIMATION; POLYMERS; TERNARY SYSTEMS;

APPLICATIONS.; ARTIFICIAL NEURAL NETWORK; BINARY INTERACTION PARAMETERS; DIFLUOROETHANE; EMPIRICAL CORRELATIONS; EXPERIMENTAL DATA; GAS SOLUBILITY; HFC-134A; ISO-BUTANE; LDPE; LOW-DENSITY POLYETHYLENE; POLYMER MANUFACTURING; PREDICTION; PRODUCT QUALITIES; TETRAFLUOROETHANE;

SOLUBILITY;

EID: 49449092284     PISSN: 10261265     EISSN: 10261265     Source Type: Journal    
DOI: None     Document Type: Article

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