期刊文献+

一种用于非线性参数的l_1数据拟合的新方法 被引量:5

The l_1 Data Fitting, A New Method for Non-Linear Parameters
下载PDF
导出
摘要 采用l1 范数准则函数对测试数据进行数据拟合的方法 ,称为l1 数据拟合。本文讨论了一种用于非线性参数的l1 数据拟合的新方法 ,其算法采用递推形式 ,具有概念清晰、易于偏程的特点。计算结果表明 。 The l 1 data fitting is the method of data fitting by using l 1 criterion function. When there are certain data existing bigger error in the measuring data list, the data fitting by using l 1 criterion function is better than by using secondary criterion function. Through establishing the relationship between l 1 criterion function and secondary criterion function, a new method of l 1 data fitting for linear data is discussed and related conclusion is given.
出处 《自动化仪表》 CAS 北大核心 2002年第1期11-14,共4页 Process Automation Instrumentation
关键词 l1数据拟合 非线性 测量 数据处理 Data processing l 1 data fitting The least square method Measurement
  • 相关文献

参考文献2

二级参考文献2

  • 1Ljung L, Sderstrm T. Theory and practice of recursive identification. The MIT Press, 1983
  • 2Bartels R, Conn A. An approach to nonlinear l1 data fitting. in: J. P. Hennart, ed., Lecture Notes in Math.909: Numer. Analy., Cocoyoc,1981; Springer Verlag, Berlin, 1982∶48~58

共引文献25

同被引文献17

  • 1高旅端,陈志,李苏祥.求解线性约束最优化问题的有效集算法[J].北京工业大学学报,2006,32(3):283-288. 被引量:3
  • 2W. Murray and M. L. Overton, A projected Lagrangian algorithm for nonlinear l1 optimization, SIAMJ. Sci. Stat. Comp., 1981
  • 3Back, T. and Hoffmeister, F.: Extended Selection Mechanisms in Genetic Algorithms. Proceedings of the Fourth International Conference on Genetic Algorithms, San Mateo, California: Morgan Kaufmann Publishers, 1991
  • 4Mühlenbein, H. and Schlierkamp-Voosen, D.: Predictive Models for the Breeder Genetic Algorithm: I. Continuous Parameter Optimization. Evolutionary Computation, 1993.
  • 5Murray W, Overton M L. A projected Lagrangian algorithm for nonlinear l1 optimization[J]. SIAM J Sci Stat Comp ,1981, (2) : 207 - 224.
  • 6Baeck T, Hoffmeister F. Extended Selection Mechanisms in Genetic Algorithms [ A ]. Proceedings of the Fourth International Conference on Genetic Algorithms [ C ]. San Mateo, California, USA: Morgan Kaufmarm Publishers,1991. 92 - 99.
  • 7Mühlenbein H, Schlierkamp-Voosen D. Predictive Models for the Breeder Genetic Algorithm: I. Continuous Parameter Optimization[J] . Evolutionary Computation, 1993, 1 ( 1 ) :25 - 49.
  • 8B(a) ck,T. and Hoffmeister,F.Extended Selection Mechanisms in Genetic Algorithms[J].Proceedings of the Fourth International Conference On Genetic Algorithms,San Mateo,California,USA:MorganKaufmann Publishers,pp.92-99,1991.
  • 9王天荆,杨震.非线性lp问题的极大熵方法[J].南京工业大学学报(自然科学版),2008,30(1):59-62. 被引量:5
  • 10王宇,韩立国,周家雄,李海鹏.L1-L2范数联合约束稀疏脉冲反演的应用[J].地球科学(中国地质大学学报),2009,34(5):835-840. 被引量:11

引证文献5

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部