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.
Share and Cite
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 StylePETROVIĆ, 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
