Truncated-Newton training algorithm for neurocomputational viscoplastic model.

DOI10.1016/S0045-7825(03)00261-5zbMath1119.74622MaRDI QIDQ1418239

M. S. Al-Haik, H. Garmestani, I. Michael Navon

Publication date: 19 January 2004

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

zbMATH Keywords

Neural networksViscoplasticityOptimization creepTruncated Newton method

Mathematics Subject Classification ID

Small-strain, rate-dependent theories of plasticity (including theories of viscoplasticity) (74C10) Neural networks for/in biological studies, artificial life and related topics (92B20) Optimization problems in solid mechanics (74P99)

Related Items

Computational water purification controls using second-order adjoint equations with stability confirmation ⋮ Bayesian regularization neural networks for optimizing fluid flow processes ⋮ Computational mechanics enhanced by deep learning ⋮ Molecular dynamics simulation of reorientation of polyethylene chains under a high magnetic field

Uses Software

• TNPACK
• L-BFGS
• tn
• Neural Network Toolbox

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Block truncated-Newton methods for parallel optimization
• Assessing a search direction within a truncated Newton method
• A uniaxial viscoplastic model based on total strain and overstress
• Multilayer feedforward networks are universal approximators
• A truncated Newton optimization algorithm in meteorology applications with analytic Hessian/vector products
• A method of viscoelastic stress analysis using elastic solutions
• Truncated-Newton algorithms for large-scale unconstrained optimization
• Numerical Experience with Limited-Memory Quasi-Newton and Truncated Newton Methods
• Newton-Type Minimization via the Lanczos Method
• Preconditioning of Truncated-Newton Methods
• A Numerical Study of the Limited Memory BFGS Method and the Truncated-Newton Method for Large Scale Optimization
• Newton-type methods for unconstrained and linearly constrained optimization
• Numerical Optimization
• TNPACK—A truncated Newton minimization package for large-scale problems
• Function minimization by conjugate gradients