Prediction of solubility for polycyclic aromatic hydrocarbons in supercritical carbon dioxide using wavelet neural networks in quantitative structure property relationship

[1]  D. Peng,et al.  A New Two-Constant Equation of State , 1976 .

[2]  C. Eckert,et al.  Solubilities of hydrocarbon solids in supercritical fluids. The augmented van der Waals treatment , 1982 .

[3]  Gerald D. Holder,et al.  Solubility of anthracene and phenanthrene mixtures in supercritical carbon dioxide , 1987 .

[4]  K. Ohgaki,et al.  Solubilities of naphthalene and indole in supercritical fluids , 1988 .

[5]  Sunwook Kim,et al.  Modeling Supercritical Mixtures: How Predictive Is It? , 1989 .

[6]  K. Bartle,et al.  Measurement of solubility in supercritical fluids using chromatographic retention: the solubility of fluorene, phenanthrene, and pyrene in carbon dioxide , 1990 .

[7]  S. Mitra,et al.  An Empirical Method to Predict Solubility in Supercritical Fluids , 1991 .

[8]  K. Bartle,et al.  Solubilities of solids and liquids of low volatility in supercritical carbon dioxide , 1991 .

[9]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[10]  Peter Politzer,et al.  Investigation of relationships between solute molecule surface electrostatic potentials and solubilities in supercritical fluids , 1992 .

[11]  J. Brennecke,et al.  Supercritical fluid engineering science : fundamentals and applications , 1992 .

[12]  Peter Politzer,et al.  Relationships between solute molecular properties and solubility in supercritical carbon dioxide , 1993 .

[13]  Predicting solubility in supercritical fluid extraction using a neural network , 1994 .

[14]  Yang Guanghua,et al.  A method for measurement of solid solubility in supercritical carbon dioxide , 1995 .

[15]  Ligia Barna,et al.  Solubility of Flouranthene, Chrysene, and Triphenylene in Supercritical Carbon Dioxide , 1996 .

[16]  Junbin Gao,et al.  A review on applications of wavelet transform techniques in chemical analysis: 1989–1997 , 1998 .

[17]  Ruisheng Zhang,et al.  Prediction of Programmed-temperature Retention Values of Naphthas by Wavelet Neural Networks , 2001, Comput. Chem..

[18]  Jun Zhang,et al.  The discrete wavelet neural network and its application in oscillographic chronopotentiometric determination , 2001 .