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Optimization of the High-Shear Wet Granulation Wetting Process Using Fuzzy Logic Modeling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F07%3A00019486" target="_blank" >RIV/60461373:22340/07:00019486 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985858:_____/07:00099738 RIV/60461373:22310/07:00018548

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimization of the High-Shear Wet Granulation Wetting Process Using Fuzzy Logic Modeling

  • Original language description

    A fuzzy model has been developed for the optimization of high-sheard wet granulation wetting on a plant scale depending on the characteristics of pharmaceutical active substance particles. The model optimized on the basis of experimental data involves aset of rules obtained from expert knowledge and full-scale process data..

  • Czech name

    Optimalizace procesu mokré granulace pomocí fuzzy logiky

  • Czech description

    Pro zdokonalení řízení procesu mokré granulace léčiv byl navržen fuzzy model. Množina pravidel byla získána jednak od expertů jednak z provozních dat.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Pharmaceutical Development and Technology

  • ISSN

    1083-7450

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    8

  • Pages from-to

    345-352

  • UT code for WoS article

  • EID of the result in the Scopus database