دورية أكاديمية

Methodologies for Limiting Iterative Increments for Stability of Results of Structural Identification

التفاصيل البيبلوغرافية
العنوان: Methodologies for Limiting Iterative Increments for Stability of Results of Structural Identification
المؤلفون: ZHANG, Li-tao
المصدر: DEStech Transactions on Computer Science and Engineering; 2018 International Conference on Communication, Network and Artificial Intelligence (CNAI 2018) ; 2475-8841
بيانات النشر: DEStech Publications, Inc.
سنة النشر: 2018
المجموعة: DPI Journals (Destech Publications)
مصطلحات موضوعية: Structural identification, Analytical models, Limiting iterative increments, Levenberg- Marquardt method
الوصف: An iterative increment is supposed to give the corresponding vector of identification parameters with physical significance in the current iteration. In order to fulfill this requirement, methodologies for limiting iterative increments were presented as the measure to improve the stability of identification results. A constrained optimization problem was given by the transformation of conditions of limiting iterative increments and Levenberg-Marquardt method was proposed. A numerical example suggested that Levenberg-Marquardt method could not only give the solution of the constrained optimization problem but also obtain stable identification results.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
العلاقة: https://www.dpi-journals.com/index.php/dtcse/article/view/24192Test
DOI: 10.12783/dtcse/cnai2018/24192
الإتاحة: https://doi.org/10.12783/dtcse/cnai2018/24192Test
https://www.dpi-journals.com/index.php/dtcse/article/view/24192Test
حقوق: Copyright (c) 2018 DEStech Transactions on Computer Science and Engineering
رقم الانضمام: edsbas.E3483AE3
قاعدة البيانات: BASE