کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2482709 1556293 2006 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comparison of neurofuzzy logic and neural networks in modelling experimental data of an immediate release tablet formulation
موضوعات مرتبط
علوم پزشکی و سلامت داروسازی، سم شناسی و علوم دارویی اکتشاف دارویی
پیش نمایش صفحه اول مقاله
Comparison of neurofuzzy logic and neural networks in modelling experimental data of an immediate release tablet formulation
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Pharmaceutical Sciences - Volume 28, Issue 5, August 2006, Pages 394–404
نویسندگان
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