Optimization of matrix tablets controlled drug release using Elman dynamic neural networks and decision trees

International Journal of Pharmaceutics

Volumn 428, Issue 1-2, 2012, Pages 57-67

  Petrović, Jelena ^a   Ibrić, Svetlana ^a   Betz, Gabriele ^b   Urić, Zorica ^a  

^a UNIVERSITY OF BELGRADE   (Serbia)

^b UNIVERSITY OF BASEL   (Switzerland)

Author keywords

Controlled release; Decision trees; Drug release modeling; Matrix tablets; Neural networks

Indexed keywords

CAFFEINE; DICLOFENAC; GLYCEROL PALMITOSTEARATE; MACROGOL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPRESSION; COMPUTER PREDICTION; COMPUTER PROGRAM; CONTROLLED DRUG RELEASE; DECISION TREE; DRUG FORMULATION; DRUG SOLUBILITY; ELMAN DYNAMIC NEURAL NETWORK; GENETIC ALGORITHM; HYDROPHILICITY; LIPID COMPOSITION; MATRIX TABLET; MONTE CARLO METHOD; MULTILAYERED PERCEPTRON STATIC NEURAL NETWORK; PRIORITY JOURNAL; TABLET POROSITY; TENSILE STRENGTH;

ARTIFICIAL INTELLIGENCE; CAFFEINE; CHEMISTRY, PHARMACEUTICAL; DECISION TREES; DELAYED-ACTION PREPARATIONS; DICLOFENAC; DIGLYCERIDES; DRUG COMPOUNDING; HYDROPHOBIC AND HYDROPHILIC INTERACTIONS; NEURAL NETWORKS (COMPUTER); POLYETHYLENE GLYCOLS; POROSITY; SOLUBILITY; TABLETS; TENSILE STRENGTH;

EID: 84859428478     PISSN: 03785173     EISSN: 18733476     Source Type: Journal    
DOI: 10.1016/j.ijpharm.2012.02.031     Document Type: Article

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