Inverse problem of aircraft structural parameter identification: application of genetic algorithms compared with artificial neural networks

DOI10.1080/17415970600573338zbMath1146.74365OpenAlexW1974385411MaRDI QIDQ5481771

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Publication date: 10 August 2006

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415970600573338

zbMATH Keywords

parameter estimationfinite elementsgenetic algorithmsaircraft structures

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Learning and adaptive systems in artificial intelligence (68T05) Finite element methods applied to problems in solid mechanics (74S05) Neural nets and related approaches to inference from stochastic processes (62M45)

Uses Software

• GAToolBox

Cites Work

• The use of genetic algorithms and stochastic hill-climbing in dynamic finite element model identification

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