{"title":"遗传算法在非平稳动态系统模型变化点估计中的应用","authors":"Thafer R. Al-Badrany, Najlaa S. Al-Sharaby","doi":"10.33899/iqjoss.2018.159250","DOIUrl":null,"url":null,"abstract":": One of the diagnostic methods for non-stationary dynamic systems was used in this research , namely data segmentation. The identification problem for non-stationary systems starts from the outline diagnostic, which considered as the cornerstone of reaching a model that is more appropriate in describing the system . Consequently the data segmentation operation is performed, were the input and output series are segmented into time intervals so that stable data can be obtained within each interval. data segmentation loss function","PeriodicalId":351789,"journal":{"name":"IRAQI JOURNAL OF STATISTICAL SCIENCES","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Genetic Algorithm for Estimating Change Point in One Non-Stationary Dynamic Systems Model with Application\",\"authors\":\"Thafer R. Al-Badrany, Najlaa S. Al-Sharaby\",\"doi\":\"10.33899/iqjoss.2018.159250\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": One of the diagnostic methods for non-stationary dynamic systems was used in this research , namely data segmentation. The identification problem for non-stationary systems starts from the outline diagnostic, which considered as the cornerstone of reaching a model that is more appropriate in describing the system . Consequently the data segmentation operation is performed, were the input and output series are segmented into time intervals so that stable data can be obtained within each interval. data segmentation loss function\",\"PeriodicalId\":351789,\"journal\":{\"name\":\"IRAQI JOURNAL OF STATISTICAL SCIENCES\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IRAQI JOURNAL OF STATISTICAL SCIENCES\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33899/iqjoss.2018.159250\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IRAQI JOURNAL OF STATISTICAL SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33899/iqjoss.2018.159250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Genetic Algorithm for Estimating Change Point in One Non-Stationary Dynamic Systems Model with Application
: One of the diagnostic methods for non-stationary dynamic systems was used in this research , namely data segmentation. The identification problem for non-stationary systems starts from the outline diagnostic, which considered as the cornerstone of reaching a model that is more appropriate in describing the system . Consequently the data segmentation operation is performed, were the input and output series are segmented into time intervals so that stable data can be obtained within each interval. data segmentation loss function