Multi-objective simultaneous optimization technique based on an artificial neural network in sustained release formulations
- 1 November 1997
- journal article
- Published by Elsevier in Journal of Controlled Release
- Vol. 49 (1) , 11-20
- https://doi.org/10.1016/s0168-3659(97)00030-8
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Statistical Approach to Neural Network Model Building for Gentamicin Peak PredictionsJournal of Pharmaceutical Sciences, 1996
- Quantitative Structure–Pharmacokinetic Relationships (QSPR) of Beta Blockers Derived Using Neural NetworksJournal of Pharmaceutical Sciences, 1995
- Estimating Diffusion Coefficients of a Micellar System Using an Artificial Neural NetworkJournal of Colloid and Interface Science, 1995
- Artificial Neural Networks: Implications for Pharmaceutical SciencesDrug Development and Industrial Pharmacy, 1995
- Formulation Optimization of Indomethacin Gels Containing a Combination of Three Kinds of Cyclic Monoterpenes as Percutaneous Penetration EnhancersJournal of Pharmaceutical Sciences, 1994
- Feasibility of Developing a Neural Network for Prediction of Human Pharmacokinetic Parameters from Animal DataPharmaceutical Research, 1993
- Neural Computing in Cancer Drug Development: Predicting Mechanism of ActionScience, 1992
- Particle Size Design Using Computer Optimization TechniqueDrug Development and Industrial Pharmacy, 1991
- Importance of drug type, tablet shape and added diluents on drug release kinetics from hydroxypropylmethylcellulose matrix tabletsInternational Journal of Pharmaceutics, 1987
- Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression FunctionsTechnometrics, 1981