Neuro-dynamic programming approach to optimal control of spreading of dengue viruses

被引：0

作者：

Putri, Anindiati Praminto ^{[1
]}

Hartono ^{[2
]}

机构：

[1] Sanata Dharma Univ, Dept Math Educ, Yogyakarta, Indonesia

[2] Sanata Dharma Univ, Dept Math, Yogyakarta, Indonesia

来源：

2018 INTERNATIONAL CONFERENCE ON COMPUTER, CONTROL, INFORMATICS AND ITS APPLICATIONS (IC3INA) | 2018年

关键词：

dengue fever; aedes aegypti; optimal control; artificial neural networks; dynamic programming;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The purpose of this research is to simulate the effectiveness of temephos and fumigation usage in reducing the growth of Aedes Aegypti as a vector for dengue viruses. The formulated optimization problem is then solved using neurodynamic programming method, a combination of artificial neural networks and dynamic programming.

引用

页码：169 / 174

页数：6

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