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  • Application of physicochemical properties and process parameters in the development of a neural network model for prediction of tablet characteristics
    Sovány, Tamás ...
    The importance of in silico modeling in the pharmaceutical industry is continuously increasing. The aim of the present study was the development of aneural network model for prediction of the ... postcompressional properties of scored tablets based on the application of existing data sets from our previous studies. Some important process parameters and physicochemical characteristics of the powder mixtures were used as training factors to achieve the best applicability in a wide range of possible compositions. The results demonstrated that, after some pre-processing of the factors, an appropriate prediction performance could be achieved. However, because of the poor extrapolation capacity, broadening of the training data range appears necessary.
    Vir: AAPS PharmSciTech [Elektronski vir]. - ISSN 1530-9932 (Vol. 14, issue 2, 2013, str. 511-516)
    Vrsta gradiva - članek, sestavni del
    Leto - 2013
    Jezik - angleški
    COBISS.SI-ID - 3403889

    Povezava(-e):

    http://link.springer.com/article/10.1208%2Fs12249-013-9932-6
    DOI

vir: AAPS PharmSciTech [Elektronski vir]. - ISSN 1530-9932 (Vol. 14, issue 2, 2013, str. 511-516)

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