Estimation of design space for an extrusion–spheronization process using response surface methodology and artificial neural network modelling

European Journal of Pharmaceutics and Biopharmaceutics

Volumn 106, Issue , 2016, Pages 79-87

  Sovány, Tamás ^a   Tislér, Zsófia ^a   Kristó, Katalin ^a   Kelemen, András ^a   Regdon, Géza ^a  

^a UNIVERSITY OF SZEGED   (Hungary)

Author keywords

Artificial neural networks; Extrusion spheronization; Quality by Design; Response surface methodology

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CALCULATION; COMPARATIVE STUDY; EXPERIMENTAL MODEL; FACTORIAL DESIGN; RESPONSE SURFACE METHOD; SPHERONIZATION; UNCERTAINTY; MEDICINAL CHEMISTRY; SURFACE PROPERTY;

CHEMISTRY, PHARMACEUTICAL; NEURAL NETWORKS (COMPUTER); SURFACE PROPERTIES;

EID: 84975496492     PISSN: 09396411     EISSN: 18733441     Source Type: Journal    
DOI: 10.1016/j.ejpb.2016.05.009     Document Type: Article

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