Effect of varying optimization parameters on optimization by guided evolutionary simulated annealing (GESA) using a tablet film coat as an example formulation
The purpose of this study was to investigate the effect of varying optimization parameters on the proposed optimum of a tablet coating formulation requiring minimization of crack velocity and maximization of film opacity. An artificial neural network (ANN) comprising six input and two output nodes s...
| Main Authors: | , , , |
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| Language: | en |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10454/3773 |