Application of heuristic scaling and null parameter space for efficient parameter estimation = 효율적인 계수 예측을 위한 발견적 스케일링과 무효 계수 공간의 적용

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In parameter estimation problem, two factors which cause difficulties can be considered. One of those is an order-of-magnitude difference in parameter values. The order-of-magnitude difference in parameter values makes it difficult to find the optimum because parameter estimation problem can be ill-conditioned by the difference. To avoid the difficulty, a proper scaling factor of parameter should be introduced into parameter estimation. The other factor is an inefficient search direction generated by algorithm is used during the optimization. Parameters changed by inefficient search directions cannot improve the objective function of parameter estimation problem. For this reason, efficient search directions should be selected by systematic approach to estimate the optimal parameter efficiently. In this work, a new heuristic method for determining the scaling factor which converts parameter estimation problem well-conditioned and a new decision method for efficient parameter search direction are proposed.
Advisors
Lee, Tai-yongresearcher이태용researcher
Description
한국과학기술원 : 생명화학공학과,
Publisher
한국과학기술원
Issue Date
2010
Identifier
418765/325007  / 020037367
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 생명화학공학과, 2010.2, [ viii, 86 p. ]

Keywords

Condition number; Hessian matrix; Scaling factor; Parameter estimation; Null parameter space; 무효 계수 공간; 고유치; 헤시안 행렬; 스케일링 인자; 계수 예측

URI
http://hdl.handle.net/10203/29261
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=418765&flag=dissertation
Appears in Collection
CBE-Theses_Ph.D.(박사논문)
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