A genetic-fuzzy system approach to control a model of the HIV infection dynamics

被引：7
|
作者：
Melgarejo, Miguel A. [1 ]
Pena-Reyes, Carlos A. [2 ]
Sanchez, Eduardo [3 ]
机构：
[1] EPFL, Zurich, Switzerland
[2] Novartis Inst Biomedical Res, Basel, Switzerland
[3] Ecole Polytech Fed Lausanne, Lausanne, Switzerland
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2006年
关键词：
D O I：
10.1109/FUZZY.2006.1682023
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a genetic fuzzy system approach to control a nonlinear dynamic model of the HIV infection. The system is conceived to find mamdani fuzzy controllers that are capable of boosting the immune response while reducing the impact on the body because of the use of potentially toxic medicaments. General aspects of the used approach are described while special emphasis is given to the evolutionary mechanism. The best solution found from several evolutionary runs is analyzed in terms of control and interpretability issues.
引用
收藏
页码：2323 / +
页数：2
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