[S. H. Schaafsma, P. Vonk and N. W. F. Kossen, Fluid bed agglomeration with a narrow droplet size distribution, Int. J. Pharm. 193 (2000) 175-187; DOI: 10.1016/S0378-5173(99)00329-4.10.1016/S0378-5173(99)00329-4]Search in Google Scholar
[K. Takayama, A. Morva, M. Fujikawa, Y. Hattori, Y. Obata and T. Nagai, Formula optimization of theophylline controlled-release tablet based on artificial neural networks, J. Control. Rel. 68 (2000) 175-186; DOI: 10.1016/S0168-3659(00)00248-0.10.1016/S0168-3659(00)00248-0]Search in Google Scholar
[H. Bourquin, P. Schmidli, Hoogevest and H. Leuenberger, Advantages of artificial neural networks (ANNs) as alternative modelling technique for data sets showing non-linear relationships using data from a galenical study on a solid dosage form, Eur. J. Pharm. Sci. 7 (1998) 5-16; DOI: 10.1016/S0928-0987(97)10028-8.10.1016/S0928-0987(97)10028-8]Search in Google Scholar
[M. Gasperlin, L. Tusar, M. Tusar, J. Smid-Korbar, J. Zupan and J. Kristl, Viscosity prediction of lipophilic semisolid emulsion systems by neural network modelling, Int. J. Pharm. 196 (2000) 37-50; DOI: 10.1016/S0378-5173(99)00443-3.10.1016/S0378-5173(99)00443-3]Search in Google Scholar
[A. Miwa, T. Yajima, H. Ikuta and K. Makado, Prediction of suitable amounts of water in fluidized bed granulation of pharmaceutical formulations using corresponding values of components, Int. J. Pharm. 352 (2008) 202-208; DOI: 10.1016/j.ijpharm.2007.10.044.10.1016/j.ijpharm.2007.10.044]Search in Google Scholar
[T. Wu, W. Pan, J. Chen and R. Zhang, Formulation optimization technique based on artificial neural network in salbutamol sulfate osmotic pump tablets, Drug Dev. Ind. Pharm. 26 (2000) 211-215; DOI: 10.1081/DDC-100100347.10.1081/DDC-10010034710697759]Search in Google Scholar
[I. Roland, G. Piel, L. Delattre and B. Evrard, Systematic characterization of oil-in-water emulsions for formulation design, Int. J. Pharm. 263 (2003) 85-94; DOI: 10.1016/S0378-5173(03)00364-8.10.1016/S0378-5173(03)00364-8]Search in Google Scholar
[S. Haykin, Neural Networks a Comprehensive Foundation, 2nd ed., Prentice-Hall, Upper Saddle River (NJ) 1999.]Search in Google Scholar
[S. Vaithiyalingam and M. A. Khan, Optimization and characterization of controlled release multi-particulate beads formulated with a customized cellulose acetate butyrate dispersion, Int. J. Pharm. 234 (2002) 179-193; DOI: 10.1016/S0378-5173(01)00959-0.10.1016/S0378-5173(01)00959-0]Search in Google Scholar
[T. Wu, W. Pan, J. Chen and R. Zhang, Formulation optimization technique based on artificial neural network in salbutamol sulfate osmotic pump tablets, Drug Dev. Ind. Pharm. 26 (2000) 211-215; DOI: 10.1081/DDC-100100347.10.1081/DDC-100100347]Search in Google Scholar