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Parameter identification with weightless regularization
Author(s) -
Furukawa Tomonari
Publication year - 2001
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.215
Subject(s) - regularization (linguistics) , mathematical optimization , parameter identification problem , identification (biology) , computer science , backus–gilbert method , mathematics , algorithm , regularization perspectives on support vector machines , inverse problem , model parameter , artificial intelligence , tikhonov regularization , mathematical analysis , botany , biology
Although the regularization increased the popularity of parameter identification due to its capability of deriving a stable solution, the significant problem is that the solution depends upon the regularization parameters chosen. This paper presents a technique for deriving solutions without the use of the parameters and, further, an optimization method, which can work efficiently for problems of concern. Numerical examples show that the technique can efficiently search for appropriate solutions. Copyright © 2001 John Wiley & Sons, Ltd.