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Neural computing boosts formulation productivity
Neural computing boosts formulation productivity
R.C. Rowe and E.A. Colbourn*
New techniques using neural networks and machine learning allow formulators to develope cause and effect models rapidly even for complex formulations. Knowledge can be extracted directly from the data and used to accelerate what-if exploration and to optimize specific formulations.
Versions Available
- None
- Author: Prof. Ray Rowe
- Published Date: 01/07/03
- Journal: Pharmaceutical Technology, IT Innovations
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