title: Advantages of neurofuzzy logic against conventional experimental design and statistical analysis in studying and developing direct compression formulations.
abstract: 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.
authors.affiliation: Departamento de Farmacia y Tecnología Farmacéutica, Facultad de Farmacia, Universidad de Santiago de Compostela, 15782 Santiago de Compostela, Spain. m.landin@usc.es
authors.forename: Mariana
authors.initials: M
authors.lastname: Landín
authors.forename: R C
authors.initials: RC
authors.lastname: Rowe
authors.forename: P
authors.initials: P
authors.lastname: York
mesh_terms: D002626:Chemistry, Pharmaceutical / Q000379:methods; D019245:Compressive Strength; D017143:Fuzzy Logic; D004364:Pharmaceutical Preparations / Q000138:chemical synthesis*; D012107:Research Design / Q000706:statistics & numerical data*; D013678:Technology, Pharmaceutical / Q000379:methods / Q000706:statistics & numerical data*
chemical_list: D004364:Pharmaceutical Preparations