Improving the neural network method for finite element model updating using homogeneous distribution of design points

DOI10.1007/S00419-007-0129-XzbMath1161.74495OpenAlexW1980116501MaRDI QIDQ1020349

J. Martínez

Publication date: 29 May 2009

Published in: Archive of Applied Mechanics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00419-007-0129-x

zbMATH Keywords

neural networkgenetic algorithmmodel updatingprinciple component analysis

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Finite element methods applied to problems in solid mechanics (74S05) Genetics and population dynamics (92D99)

Related Items (1)

Uncertainty propagation in dynamic sub-structuring by model reduction integrated domain decomposition

Uses Software

• Neural Network Toolbox

Cites Work

• Finite element model updating in structural dynamics
• Some acceleration methods for iterative computer of derivatives of eigenvalues and eigenvectors
• Direct update of dynamic mathematical models from modal test data
• Use of neural networks in detection of structural damage
• Minimization of the discretization error in mass and stiffness formulations by an inverse method
• Statistical Identification of Structures

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