Advantages of neurofuzzy logic against conventional experimental design and statistical analysis in studying and developing direct compression formulations

This study has investigated the utility and potential advantages of an artificial intelligence technology - neurofuzzy logic - as a modeling tool to study direct compression formulations. The modeling performance was compare with traditional statistical analysis. From results it can be stated that t...

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Bibliographic Details
Published in:European journal of pharmaceutical sciences 2009-11, Vol.38 (4), p.325-331
Main Authors: LANDIN, Mariana, ROWE, R. C, YORK, P
Format: Article
Language:English
Subjects:
Biological and medical sciences
Chemistry, Pharmaceutical - methods
Compressive Strength
Fuzzy Logic
General pharmacology
Medical sciences
Pharmaceutical Preparations - chemical synthesis
Pharmaceutical technology. Pharmaceutical industry
Pharmacology. Drug treatments
Research Design - statistics & numerical data
Technology, Pharmaceutical - methods
Technology, Pharmaceutical - statistics & numerical data
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Summary:This study has investigated the utility and potential advantages of an artificial intelligence technology - neurofuzzy logic - as a modeling tool to study direct compression formulations. The modeling performance was compare with traditional statistical analysis. From results it can be stated that the normalized error obtained from neurofuzzy logic was lower. Compared to the multiple regression analysis neurofuzzy logic showed higher accuracy in prediction for the five outputs studied. Rule sets generated by neurofuzzy logic are completely in agreement with the findings based on statistical analysis and advantageously generate understandable and reusable knowledge. Neurofuzzy logic is easy and rapid to apply and outcomes provided knowledge not revealed via statistical analysis.
ISSN:0928-0987
1879-0720
DOI:10.1016/j.ejps.2009.08.004