Artificial neural network modelling of continuous wet granulation using a twin-screw extruder

[Display omitted] Computational modelling of twin-screw granulation was conducted by using an artificial neural network (ANN) approach. Various ANN configurations were considered with changing hidden layers, nodes and activation functions to determine the optimum model for the prediction of the proc...

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Veröffentlicht in:	International journal of pharmaceutics 2017-04, Vol.521 (1-2), p.102-109
Hauptverfasser:	Shirazian, Saeed, Kuhs, Manuel, Darwish, Shaza, Croker, Denise, Walker, Gavin M.
Format:	Artikel
Sprache:	eng
Schlagworte:	ANN Chemistry, Pharmaceutical - methods Computational modelling Continuous pharmaceutical manufacturing Model predictive control Models, Theoretical Neural Networks (Computer) Wet granulation
Online-Zugang:	Volltext
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