{"title":"利用遗传算法进行一维地电反演,确定最优水平层数","authors":"G. Farias, Cosme Neto","doi":"10.22564/16cisbgf2019.265","DOIUrl":null,"url":null,"abstract":"This work has as main objective to generate a computational routine, a genetic algorithm, to create horizontal geoelectric models that explain the data obtained in different types of electrode arrangements. To do this, the FORTRAN90 programming language will be used, as well as well-known function routines that will aid in the development of modeling. The number of layers of the model will be determined by statistical criteria.","PeriodicalId":332941,"journal":{"name":"Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inversão geoelétrica 1D utilizando o algoritmo genético com a determinação do número ótimo de camadas horizontais\",\"authors\":\"G. Farias, Cosme Neto\",\"doi\":\"10.22564/16cisbgf2019.265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work has as main objective to generate a computational routine, a genetic algorithm, to create horizontal geoelectric models that explain the data obtained in different types of electrode arrangements. To do this, the FORTRAN90 programming language will be used, as well as well-known function routines that will aid in the development of modeling. The number of layers of the model will be determined by statistical criteria.\",\"PeriodicalId\":332941,\"journal\":{\"name\":\"Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22564/16cisbgf2019.265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22564/16cisbgf2019.265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Inversão geoelétrica 1D utilizando o algoritmo genético com a determinação do número ótimo de camadas horizontais
This work has as main objective to generate a computational routine, a genetic algorithm, to create horizontal geoelectric models that explain the data obtained in different types of electrode arrangements. To do this, the FORTRAN90 programming language will be used, as well as well-known function routines that will aid in the development of modeling. The number of layers of the model will be determined by statistical criteria.