{"title":"用模糊模型估计隧道等级","authors":"B. Tutmez, A. Tercan","doi":"10.1109/CIMA.2005.1662298","DOIUrl":null,"url":null,"abstract":"The estimation of reserves is directly related to the financial investments. In this study, fuzzy approach was presented for estimating ore grades which is the main part of reserve estimation. Data driven fuzzy modelling technique is applied to estimate the grades in a trona (natural soda) deposit. Performance evaluations of the fuzzy model showed that fuzzy modelling is a useful tool for the estimation of ore parameters","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of trona grade by fuzzy modelling\",\"authors\":\"B. Tutmez, A. Tercan\",\"doi\":\"10.1109/CIMA.2005.1662298\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The estimation of reserves is directly related to the financial investments. In this study, fuzzy approach was presented for estimating ore grades which is the main part of reserve estimation. Data driven fuzzy modelling technique is applied to estimate the grades in a trona (natural soda) deposit. Performance evaluations of the fuzzy model showed that fuzzy modelling is a useful tool for the estimation of ore parameters\",\"PeriodicalId\":306045,\"journal\":{\"name\":\"2005 ICSC Congress on Computational Intelligence Methods and Applications\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 ICSC Congress on Computational Intelligence Methods and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIMA.2005.1662298\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 ICSC Congress on Computational Intelligence Methods and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIMA.2005.1662298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The estimation of reserves is directly related to the financial investments. In this study, fuzzy approach was presented for estimating ore grades which is the main part of reserve estimation. Data driven fuzzy modelling technique is applied to estimate the grades in a trona (natural soda) deposit. Performance evaluations of the fuzzy model showed that fuzzy modelling is a useful tool for the estimation of ore parameters