Publication detail

Neural network based identification of material model parameters to capture experimental load-deflection curve.

NOVÁK, D., LEHKÝ, D.

Original Title

Neural network based identification of material model parameters to capture experimental load-deflection curve.

Type

journal article - other

Language

English

Original Abstract

A new approach for material model parameters identification is presented. The approach is based on coupling of the stochastic nonlinear analysis and teh artificial neural network.

Keywords

neural network, nonlinear fracture mechanics, Latin Hypercube Sampling, identification

Authors

NOVÁK, D., LEHKÝ, D.

Released

1. 1. 2004

ISBN

1210-2709

Periodical

Acta Polytechnica

Year of study

44

Number

5-6

State

Czech Republic

Pages from

110

Pages to

116

Pages count

7

BibTex

@article{BUT42246,
  author="Drahomír {Novák} and David {Lehký}",
  title="Neural network based identification of material model parameters to capture experimental load-deflection curve.",
  journal="Acta Polytechnica",
  year="2004",
  volume="44",
  number="5-6",
  pages="7",
  issn="1210-2709"
}