Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13007
ชื่อเรื่อง: A novel strategy to guarantee convergence by avoiding divergence in estimation process for evaluating head tissue conductivities
ผู้แต่ง: Ouypornkochagorn T.
Keywords: Electric impedance
Electric impedance measurement
Electric impedance tomography
Iterative methods
Optimal systems
Optimization
Tissue
Tomography
Auxiliary process
Avoiding divergence
Electrical impe dance tomography (EIT)
Estimation process
Guaranteeing convergence
Iterative process
Optimal solutions
Tissue conductivity
Inverse problems
วันที่เผยแพร่: 2017
บทคัดย่อ: One of auxiliary processes to obtain the optimal solution of an inverse problem is to use guaranteeing convergence strategy. Line-search strategy is the oldest and the most widely used one. However, line-search strategy is not suitable in some situations, in particular, in non-linear situations where many local minima are present. Seeking an optimal solution for head tissue conductivities estimation with electrical impedance tomography (EIT) technique is a kind of such situation. Noise and modeling error also are crucial factors to determine the accuracy and the reliability of the estimation, and, many times, the line-search strategy cannot deal with. In this work, a novel guaranteeing convergence strategy is proposed by restricting the change of estimates during the iterative process of the estimation. Respecting the simulation result, the novel strategy employment shows the improvement of reliability and local minima avoidance even working in a high-degree non-linear situation. ©2017 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/13007
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039927652&doi=10.1109%2fIEECON.2017.8075873&partnerID=40&md5=b6ebb626bf3581dac885f6ddb66fe648
Appears in Collections:Scopus 1983-2021

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