[2] Inczedy, J., Lengyel, T. and Ure, A. M., Compendium of analytical nomenclature, 3rd edition, Blackwell Science, USA, (1998).
[3] Prausnitz, J. M., Lichtenthaler, R. N., de Azevedo, E. G. and Rowlinson, J., Molecular thermodynamics of fluid-phase equilibria, Pearson Education, USA, (1998).
[4] Delaney, J. S., “Predicting aqueous solubility from structure”, Drug Discov. Today, 10, 289 (2005).
[5] Babu, V. R., Areefulla, S. H. and Mallikarjun, V., “Solubility and dissolution enhancement: An overview”, J. Pharm. Res., 3, 141 (2010).
[6] Savjani, K. T., Gajjar, A. K. and Savjani, J. K., “Drug solubility: Importance and enhancement techniques”, ISRN Pharm., 2012, 195727 (2012).
[7] Feng, L., van Hullebusch, E. D., Rodrigo, M. A., Esposito, G. and Oturan, M. A., “
Removal of residual anti-inflammatory and analgesic pharmaceuticals from aqueous systems by electrochemical advanced oxidation processes: A review”,
Chem. Eng. J.,
228, 944 (2013).
[8] Lindenberg, C., Kråttli, M., Cornel, J. and Mazzotti, M., “Design and optimization of a combined cooling/antisolvent crystallization process”, Cryst. Growth Des., 9, 1124 (2009).
[9] Blanchard, L. a. and Brennecke, J. F., “Recovery of organic products from ionic liquids using supercritical carbon dioxide”, Ind. Eng. Chem. Res., 40, 2550 (2001).
[10] Crerar, D. A. and Anderson, G. M., “Solubility and solvation reactions of quartz in dilute hydrothermal solutions”, Chem. Geol., 8, 107 (1971).
[11] Gmehling, J. G., Anderson, T. F. and Prausnitz, J. M., “Solid-liquid equilibria using UNIFAC”, Ind. Eng. Chem. Fundam., 17, 269 (1978).
[12] Feelly Ruether, G. S., “Modeling the solubility of pharmaceuticals in pure solvents and solvent mixtures for drug process design”, J. Pharm. Sci., 98, 4205 (2009).
[13] Mullins, E., Liu, Y. A, Ghaderi, A. and Fast, S. D., “
Sigma profile database for predicting solid solubility in pure and mixed solvent mixtures for organic pharmacological compounds with COSMO-based thermodynamic methods”,
Ind. Eng. Chem. Res.,
47, 1707 (2008).
[14] Zhao, Y., Wu, Z., Liu, W. and Pei, X., “A new theoretical model for predicting the solubility of solid solutes in different solvents”, Fluid Phase Equilib., 412, 123 (2016).
[15] Gharagheizi, F., “Representation/ prediction of solubilities of pure compounds in water using artificial neural network-group contribution method”, J. Chem. Eng. Data, 56, 720 (2011).
[16] Yalkowsky, S. H. and Valvani, S. C., “Solubility and partitioning, I: Solubility of nonelectrolytes in water”, J. Pharm. Sci., 69, 912 (1980).
[17] Ruelle, P. and Kesselring, U. W., “Solubility predictions for solid nitriles and tertiary amides based on the mobile order theory”, Pharm. Res., 11, 201 (1994).
[18] Abraham, M. H. and Le, J., “The correlation and prediction of the solubility of compounds in water using an amended solvation energy relationship”, J. Pharm. Sci., 88, 868 (1999).
[19] Klamt, A., Eckert, F., Hornig, M., Beck, M. E. and Brger, T., “Prediction of aqueous solubility of drugs and pesticides with COSMO-RS”, J. Comput. Chem., 23, 275 (2002).
[20] Wang, J., Krudy, G., Hou, T., Zhang, W., Holland, G. and Xu, X. J., “
Development of reliable aqueous solubility models and their application in druglike analysis”,
J. Chem. Inf. Model.,
47, 1395 (2007).
[21] Huuskonen, J., “Estimation of aqueous solubility for a diverse set of organic compounds based on molecular topology”, J. Chem. Inf. Comput. Sci., 40, 773 (2000).
[22] Hou, T. J., Xia, K., Zhang, W. and Xu, X. J., “ADME evaluation in drug discovery: 4. Prediction of aqueous solubility based on atom contribution approach”, J. Chem. Inf. Comput. Sci., 44, 266 (2004).
[23] Gharagheizi, F., Eslamimanesh, A., Mohammadi, A. H. and Richon, D., “Determination of critical properties and acentric factors of pure compounds using the artificial neural network group contribution algorithm”, J. Chem. Eng. Data., 56, 2460 (2011).
[24] Chen, G., Luo, X., Zhang, H., Fu, K., Liang, Z., Rongwong, W., Tontiwachwuthikul, P. and Idem, R., “
Artificial neural network models for the prediction of CO2 solubility in aqueous amine solutions”,
Int. J. Greenh. Gas Control.,
39, 174 (2015).
[25] Tatar, A., Naseri, S., Bahadori, M., Hezave, A. Z., Kashiwao, T., Bahadori, A. and Darvish, H., “Prediction of carbon dioxide solubility in ionic liquids using MLP and radial basis function (RBF) neural networks”, J. Taiwan Inst. Chem. Eng., 60, 151 (2016).
[26] Mehdizadeh, B. and Movagharnejad, K., “A comparison between neural network method and semi empirical equations to predict the solubility of different compounds in supercritical carbon dioxide”, Fluid Phase Equilib., 303, 40 (2011).
[27] Graupe, D., Principles of artificial neural networks, World Scientific, Singapore, (2013).
[28] Kennedy, J. and Eberhart, R., “Particle swarm optimization”, Proceedings of IEEE Int. Conf. Neural Networks, Perth, WA, Australia, 4, pp. 1942–1948 (2002).
[29] Haykin, S. S., Neural networks and learning machines, 3rd Edition, USA, (2009).
[30] Broomhead, D. S. and Lowe, D., “Radial basis functions, multi-variable functional interpolation and adaptive networks”, DTIC Document, (1988).
[31] Mustafa, M. R., Rezaur, R. B., Rahardjo, H. and Isa, M. H., “
Prediction of pore-water pressure using radial basis function neural network”,
Eng. Geol.,
135–136, 40 (2012).
[32] Shen, W., Guo, X., Wu, C. and Wu, D., “Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm”, Knowledge-Based Syst., 24, 378 (2011).
[33] Vladimir, V. N. and Vapnik, V., The nature of statistical learning theory, Springer-Verlag, Berlin, Germany, (1995).
[34] Kazem, A., Sharifi, E., Hussain, F. K., Saberi, M. and Hussain, O. K., “
Support vector regression with chaos-based firefly algorithm for stock market price forecasting”,
Appl. Soft Comput.,
13, 947 (2013).
[36] Smola, A. J. and Schölkopf, B., “A tutorial on support vector regression”, Stat. Comput., 14, 199 (2004).
[37] Yalkowsky, S. H., He, Y. and Jain, P., Handbook of aqueous solubility data, 2nd ed., CRC Press, USA, (2010).
[38] Ribeiro Neto, A. C., Pires, R. F., Malagoni, R. A. and Franco, M. R., “Solubility of vitamin C in water, ethanol, propan-1-ol, water + ethanol, and water + propan-1-ol at (298.15 and 308.15) K”, J. Chem. Eng. Data, 55, 1718 (2010).
[39] Pobudkowska, A., Domańska, U. and Jurkowska, B. A., “Solubility of pharmaceuticals in water and alcohols”, Fluid Phase Equilib., 392, 56 (2015).
[40] Wenju, L., Leping, D., Black, S. and Hongyuan, W., “Solubility of carbamazepine (form III) in different solvents from (275 to 343) K”, J. Chem. Eng. Data, 53, 2204 (2008).
[41] Li, Q. S., Li, Z. and Wang, S., “Solubility of trimethoprim (TMP) in different organic solvents from (278 to 333) K”, J. Chem. Eng. Data, 53, 286 (2008).
[42] Jouyban, A., Handbook of solubility data for pharmaceuticals, CRC Press, USA, (2009).
[43] Wang, L., Du, C., Wang, X., Zeng, H., Yao, J. and Chen, B., “Solubilities of phosphoramidic acid, N-(phenylmethyl)-, diphenyl ester in selected solvents”, J. Chem. Eng. Data, 60, 1814 (2015).
[44] Marrero, J. and Gani, R., “Group-contribution based estimation of pure component properties”, Fluid Phase Equilib., 183–184, 183 (2001).
[45] Agirre-Basurko, E., Ibarra-Berastegi, G. and Madariaga, I., “Regression and multilayer perceptron-based models to forecast hourly O3 and NO2 levels in the Bilbao area”, Environ. Model. Softw., 21, 430 (2006).