Neural network‐based parameter estimation for non‐linear finite element analyses
DOI10.1108/02644409810200721zbMath0935.76045OpenAlexW1985151506MaRDI QIDQ4241313
Akihiro Matsuda, Hiroshi Okuda, Shinobu Yoshimura, Genki Yagawa
Publication date: 9 May 2000
Published in: Engineering Computations (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1108/02644409810200721
parameter estimationneural networkaugmented Lagrangian methodinverse analysistraining datahierarchical neural networkincompressible inelastic structurespseudo time-dependent stress analysis
Navier-Stokes equations for incompressible viscous fluids (76D05) Neural networks for/in biological studies, artificial life and related topics (92B20) Finite element methods applied to problems in solid mechanics (74S05) Thin bodies, structures (74K99) Finite element methods applied to problems in fluid mechanics (76M10)
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