Solubility prediction of 21 azo dyes in supercritical carbon dioxide using wavelet neural network

Dyes and Pigments

Volumn 73, Issue 2, 2007, Pages 230-238

  Tabaraki, R ^a   Khayamian, T ^a   Ensafi, A A ^a  

^a ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Azo dyes; SC CO2; Solubility; WNN

Indexed keywords

CARBON DIOXIDE; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; REGRESSION ANALYSIS; SOLUBILITY; SUPERCRITICAL FLUIDS; WAVELET TRANSFORMS;

MULTIPLE LINEAR REGRESSION METHOD; NEURONS; STEPWISE FEATURE SELECTION; WAVELET NEURAL NETWORK MODEL;

AZO DYES;

AZO DYE; MATHEMATICAL MODEL; NEURAL NETWORK; PRESSURE; SOLUBILITY; SUPERCRITICAL CARBON DIOXIDE DYEING; TEMPERATURE;

EID: 33748458683     PISSN: 01437208     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dyepig.2005.12.003     Document Type: Article

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