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Sci. Pharm. 2010, 78(3), 709; doi:10.3797/scipharm.cespt.8.PPAT20

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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MDPI and ACS Style

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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