Comparison of artificial neural networks (ANN) with classical modelling techniques using different experimental designs and data from a galenical study on a solid dosage form

European Journal of Pharmaceutical Sciences

Volumn 6, Issue 4, 1998, Pages 287-300

  Bourquin, Jacques ^a   Schmidli, Heinz ^a   Van Hoogevest, Peter ^a   Leuenberger, Hans ^b  

^a NOVARTIS PHARMA AG   (Switzerland)

^b UNIVERSITY OF BASEL   (Switzerland)

Author keywords

Artificial neural networks (ANN); Associating networks; Comparison of modelling techniques; Experimental designs; Galenical study; Pharmaceutical technology; Response surface methodology (RSM)

Indexed keywords

CARBOXYMETHYLCELLULOSE; MAGNESIUM STEARATE; MICROCRYSTALLINE CELLULOSE; SILICON DIOXIDE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DATA ANALYSIS; DRUG DOSAGE FORM; DRUG SOLUBILITY; MODEL; PRIORITY JOURNAL; STATISTICAL ANALYSIS; TABLET;

BIOPHARMACEUTICS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); RANDOM ALLOCATION; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; SOLUBILITY; TABLETS; TENSILE STRENGTH;

EID: 17344372177     PISSN: 09280987     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0928-0987(97)10025-2     Document Type: Article

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