Neural networks for computing in structural analysis: Methods and prospects of applications

DOI10.1002/nme.1620361310zbMath0782.73075OpenAlexW2153027008MaRDI QIDQ4271481

S. Kortesis, Panagiotis D. Panagiotopoulos

Publication date: 6 March 1994

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nme.1620361310

zbMATH Keywords

parameter identificationbilateral and unilateral constraintsHopfield-like neural models

Mathematics Subject Classification ID

Related Items (5)

On the parameter identification problem for failure criteria in anisotropic bodies ⋮ Artificial neural network as an incremental nonlinear constitutive model for a finite element code. ⋮ Hardening Plasticity Approximated via Anisotropic Elasticity. The Fokker‐Planck Equation in a Neural Network Environment ⋮ Plasticity including the Bauschinger effect, studied by a neural network approach ⋮ Generalised hardening plasticity approximated via anisotropic elasticity: A neural network approach

Cites Work

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• The boundary integral approach to static and dynamic contact problems: equality and inequality methods
• A Neural Network-Based Optimization Algorithm for the Static Weapon-Target Assignment Problem

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