Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2505635 | International Journal of Pharmaceutics | 2008 | 7 Pages |
Abstract
This study has investigated and compared genetic programming (GP) – a method of automatically generating equations that describe the cause-and-effect relationships in a system – and statistical methods for modelling two controlled release formulations—a matrix tablet and microspheres. With the improved GP models exhibiting comparable predictive power, as well as simpler equations in some cases, the results obtained indicate that GP can be considered as an effective and efficient method for modelling controlled release formulations.
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Authors
Duong Q. Do, Raymond C. Rowe, Peter York,