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Conference Report

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.
Sci. Pharm. 2010, 78(3), 709; https://doi.org/10.3797/scipharm.cespt.8.PPAT20
Submission received: 12 July 2010 / Accepted: 12 July 2010 / Published: 12 July 2010

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.

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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. https://doi.org/10.3797/scipharm.cespt.8.PPAT20

AMA Style

PETROVIĆ J, IBRIĆ S, BETZ G, ĐURIĆ Z. Application of Dynamic Neural Networks and Fuzzy Algorithms in the Modeling of Drug Release. Scientia Pharmaceutica. 2010; 78(3):709. https://doi.org/10.3797/scipharm.cespt.8.PPAT20

Chicago/Turabian Style

PETROVIĆ, J., S. IBRIĆ, G. BETZ, and Z. ĐURIĆ. 2010. "Application of Dynamic Neural Networks and Fuzzy Algorithms in the Modeling of Drug Release" Scientia Pharmaceutica 78, no. 3: 709. https://doi.org/10.3797/scipharm.cespt.8.PPAT20

APA Style

PETROVIĆ, J., IBRIĆ, S., BETZ, G., & ĐURIĆ, Z. (2010). Application of Dynamic Neural Networks and Fuzzy Algorithms in the Modeling of Drug Release. Scientia Pharmaceutica, 78(3), 709. https://doi.org/10.3797/scipharm.cespt.8.PPAT20

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