Data mining of fractured experimental data using neurofuzzy logic-discovering and integrating knowledge hidden in multiple formulation databases for a fluid-bed granulation process.
No === In the pharmaceutical field, current practice in gaining process understanding by data analysis or knowledge discovery has generally focused on dealing with single experimental databases. This limits the level of knowledge extracted in the situation where data from a number of sources, so cal...
Main Authors: | Shao, Qun, Rowe, Raymond C., York, Peter |
---|---|
Language: | en |
Published: |
2009
|
Subjects: | |
Online Access: | http://hdl.handle.net/10454/3439 |
Similar Items
-
Comparison of neurofuzzy logic and neural networks in modelling experimental data of an immediate release tablet formulation
by: Shao, Qun, et al.
Published: (2009) -
Continuous Twin Screw Granulation: A Review of Recent Progress and Opportunities in Formulation and Equipment Design
by: Christoph Portier, et al.
Published: (2021-05-01) -
Formulation by design approach for effervescent granules of vitamin C using statistical optimization methodologies
by: Abdu Alemad, et al.
Published: (2020-11-01) -
Influence of Formulation Parameters on Redispersibility of Naproxen Nanoparticles from Granules Produced in a Fluidized Bed Process
by: Martin Wewers, et al.
Published: (2020-04-01) -
Identifying Critical Binder Attributes to Facilitate Binder Selection for Efficient Formulation Development in a Continuous Twin Screw Wet Granulation Process
by: Lise Vandevivere, et al.
Published: (2021-02-01)