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Scientia Pharmaceutica is published by MDPI from Volume 84 Issue 3 (2015). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Austrian Pharmaceutical Society (Österreichische Pharmazeutische Gesellschaft, ÖPhG).
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Sci. Pharm. 2010, 78(3), 709; https://doi.org/10.3797/scipharm.cespt.8.PPAT20 (registering DOI)

Application of Dynamic Neural Networks and Fuzzy Algorithms in the Modeling of Drug Release

1
Institute of Pharmaceutical Technology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia
2
Institute of Pharmaceutical Technology, Pharmacenter, University of Basel, Basel, Switzerland
*
Author to whom correspondence should be addressed.
Received: 12 July 2010 / Accepted: 12 July 2010 / Published: 12 July 2010
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Abstract

The aim of the presented study is to propose the utilization of dynamic neural networks and fuzzy algorithms as in silico tools for prediction of drug release rate from hydrophilic and lipid matrix tablets.
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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PETROVIĆ, J.; IBRIĆ, S.; BETZ, G.; ĐURIĆ, Z. Application of Dynamic Neural Networks and Fuzzy Algorithms in the Modeling of Drug Release. Sci. Pharm. 2010, 78, 709.

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