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EXTRACTING CAUSE-EFFECT RELATIONSHIPS IN PHARMACY PRODUCTS USING NEURO-FUZZY SYSTEM COMBINED TO VISUALIZATION TECHNIQUE

Khoa Dang Nguyen 1, *
Duong Quang Do 2
  1. Dongnai Vocational College
  2. University of Medicine and Pharmacy in HCMC
Correspondence to: Khoa Dang Nguyen, Dongnai Vocational College. Email: pvphuc@hcmuns.edu.vn.
Volume & Issue: Vol. 13 No. 1 (2010) | Page No.: 35-42 | DOI: 10.32508/stdj.v13i1.2093
Published: 2010-03-30

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

Neuro-fuzzy system is a fusion functionalities in neural networks and fuzzy logic in order to model and extract knowledge from data. This research presents an application of neuro-fuzzy combined to visualization approach for extracting cause-effect relationships between ingredients and properties in formulation. This result will lead formulators to understanding their products more precisely and saving a lot of time and labor in R&D process.

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