{"title":"登革热病毒传播最优控制的神经动态规划方法","authors":"A. Putri, Hartono","doi":"10.1109/IC3INA.2018.8629508","DOIUrl":null,"url":null,"abstract":"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 neuro-dynamic programming method, a combination of artificial neural networks and dynamic programming.","PeriodicalId":179466,"journal":{"name":"2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Neuro-dynamic programming approach to optimal control of spreading of dengue viruses\",\"authors\":\"A. Putri, Hartono\",\"doi\":\"10.1109/IC3INA.2018.8629508\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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 neuro-dynamic programming method, a combination of artificial neural networks and dynamic programming.\",\"PeriodicalId\":179466,\"journal\":{\"name\":\"2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3INA.2018.8629508\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3INA.2018.8629508","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neuro-dynamic programming approach to optimal control of spreading of dengue viruses
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 neuro-dynamic programming method, a combination of artificial neural networks and dynamic programming.