{"title":"基于进化规划的变异函数研究","authors":"Peihong Fu","doi":"10.1109/ISA.2011.5873332","DOIUrl":null,"url":null,"abstract":"The question which how to select the most superior fitting mode of variogram is one of basic questions which in current geostatistics not yet completely solves. In view of this question, this article proposed take lag as the weight coefficient to establish objective function and establish the variogram fitting method based on the evolutionary programming. This method dynamic estimates the parameter value, has avoided interdependence of each parameter in the estimate process. It is easily, general, estimated the precision is high, has the widespread application value.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Research on the Variogram Based on Evolutionary Programming\",\"authors\":\"Peihong Fu\",\"doi\":\"10.1109/ISA.2011.5873332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The question which how to select the most superior fitting mode of variogram is one of basic questions which in current geostatistics not yet completely solves. In view of this question, this article proposed take lag as the weight coefficient to establish objective function and establish the variogram fitting method based on the evolutionary programming. This method dynamic estimates the parameter value, has avoided interdependence of each parameter in the estimate process. It is easily, general, estimated the precision is high, has the widespread application value.\",\"PeriodicalId\":128163,\"journal\":{\"name\":\"2011 3rd International Workshop on Intelligent Systems and Applications\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 3rd International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISA.2011.5873332\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3rd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISA.2011.5873332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Research on the Variogram Based on Evolutionary Programming
The question which how to select the most superior fitting mode of variogram is one of basic questions which in current geostatistics not yet completely solves. In view of this question, this article proposed take lag as the weight coefficient to establish objective function and establish the variogram fitting method based on the evolutionary programming. This method dynamic estimates the parameter value, has avoided interdependence of each parameter in the estimate process. It is easily, general, estimated the precision is high, has the widespread application value.