Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors.

@article{Ali2009ArtificialNN,
  title={Artificial neural networks modelling the prednisolone nanoprecipitation in microfluidic reactors.},
  author={Hany S M Ali and Nicholas Blagden and Peter J York and A. S. Amani and Toni Brook},
  journal={European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences},
  year={2009},
  volume={37 3-4},
  pages={514-22}
}
This study employs artificial neural networks (ANNs) to create a model to identify relationships between variables affecting drug nanoprecipitation using microfluidic reactors. The input variables examined were saturation levels of prednisolone, solvent and antisolvent flow rates, microreactor inlet angles and internal diameters, while particle size was the single output. ANNs software was used to analyse a set of data obtained by random selection of the variables. The developed model was then… CONTINUE READING

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