Bias Reduction Method for Parameter Inversion of Ill-Posed Surveying Model

Dongfang Lin, Jianjun Zhu, Chaokui Li, Mengguang Liao, Zheng Dunyong
{"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}
引用次数: 1

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 ...
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
不适定测量模型参数反演的减偏方法
摘要由于不适定问题,不适定模型的反演参数往往存在较大的方差。正则化方法被广泛用于解决这一问题。基于均方…
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Horizontal Reference Network Densification by Multiple Free Stations Inaugural Editorial Reviewers Network-Aided Reduction of Slope Distances in Small-Scale Geodetic Control Networks Enhancement of Computational Efficiency for Weighted Total Least Squares
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1