Article ID Journal Published Year Pages File Type
2482709 European Journal of Pharmaceutical Sciences 2006 11 Pages PDF
Abstract

This study compares the performance of neurofuzzy logic and neural networks using two software packages (INForm and FormRules) in generating predictive models for a published database for an immediate release tablet formulation. Both approaches were successful in developing good predictive models for tablet tensile strength and drug dissolution profiles. While neural networks demonstrated a slightly superior capability in predicting unseen data, neurofuzzy logic had the added advantage of generating rule sets representing the cause–effect relationships contained in the experimental data.

Related Topics
Health Sciences Pharmacology, Toxicology and Pharmaceutical Science Drug Discovery
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