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Application of artificial neural networks in optimizing the fatty alcohol concentration in the formulation of an O/W emulsion Cover

Application of artificial neural networks in optimizing the fatty alcohol concentration in the formulation of an O/W emulsion

Open Access
|Jun 2011

References

  1. S. H. Schaafsma, P. Vonk and N. W. F. Kossen, Fluid bed agglomeration with a narrow droplet size distribution,(2000) 175-187; DOI: 10.1016/S0378-5173(99)00329-4.
  2. 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,(2000) 175-186; DOI: 10.1016/S0168-3659(00)00248-0.
  3. 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,(1998) 5-16; DOI: 10.1016/S0928-0987(97)10028-8.
  4. 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,(2000) 37-50; DOI: 10.1016/S0378-5173(99)00443-3.
  5. 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,(2008) 202-208; DOI: 10.1016/j.ijpharm.2007.10.044.
  6. T. Wu, W. Pan, J. Chen and R. Zhang, Formulation optimization technique based on artificial neural network in salbutamol sulfate osmotic pump tablets,(2000) 211-215; DOI: 10.1081/DDC-100100347.
  7. I. Roland, G. Piel, L. Delattre and B. Evrard, Systematic characterization of oil-in-water emulsions for formulation design,(2003) 85-94; DOI: 10.1016/S0378-5173(03)00364-8.
  8. S. Haykin,, 2nd ed., Prentice-Hall, Upper Saddle River (NJ) 1999.
  9. S. Vaithiyalingam and M. A. Khan, Optimization and characterization of controlled release multi-particulate beads formulated with a customized cellulose acetate butyrate dispersion,(2002) 179-193; DOI: 10.1016/S0378-5173(01)00959-0.
  10. T. Wu, W. Pan, J. Chen and R. Zhang, Formulation optimization technique based on artificial neural network in salbutamol sulfate osmotic pump tablets,(2000) 211-215; DOI: 10.1081/DDC-100100347.
DOI: https://doi.org/10.2478/v10007-011-0013-7 | Journal eISSN: 1846-9558 | Journal ISSN: 1330-0075
Language: English, Croatian
Page range: 249 - 256
Published on: Jun 17, 2011
Published by: Croatian Pharmaceutical Society
In partnership with: Paradigm Publishing Services
Related subjects:

© 2011 K. Kumar, Gopal Panpalia, Surabhi Priyadarshini, published by Croatian Pharmaceutical Society
This work is licensed under the Creative Commons License.