{"title":"不适定测量模型参数反演的减偏方法","authors":"Dongfang Lin, Jianjun Zhu, Chaokui Li, Mengguang Liao, Zheng Dunyong","doi":"10.1061/(asce)su.1943-5428.0000321","DOIUrl":null,"url":null,"abstract":"AbstractBecause of ill-posed problems, inverted parameters of ill-posed models always have large variances. The regularization method is widely used to solve this problem. Based on the mean square ...","PeriodicalId":210864,"journal":{"name":"Journal of Surveying Engineering-asce","volume":"667 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Bias Reduction Method for Parameter Inversion of Ill-Posed Surveying Model\",\"authors\":\"Dongfang Lin, Jianjun Zhu, Chaokui Li, Mengguang Liao, Zheng Dunyong\",\"doi\":\"10.1061/(asce)su.1943-5428.0000321\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AbstractBecause of ill-posed problems, inverted parameters of ill-posed models always have large variances. The regularization method is widely used to solve this problem. Based on the mean square ...\",\"PeriodicalId\":210864,\"journal\":{\"name\":\"Journal of Surveying Engineering-asce\",\"volume\":\"667 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Surveying Engineering-asce\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1061/(asce)su.1943-5428.0000321\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Surveying Engineering-asce","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1061/(asce)su.1943-5428.0000321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bias Reduction Method for Parameter Inversion of Ill-Posed Surveying Model
AbstractBecause of ill-posed problems, inverted parameters of ill-posed models always have large variances. The regularization method is widely used to solve this problem. Based on the mean square ...
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