Publication result 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.

English Title

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

Type

Peer-reviewed article not indexed in WoS or Scopus

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.

English 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

Key words in English

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

Authors

NOVÁK, D., LEHKÝ, D.

Released

01.01.2004

ISBN

1210-2709

Periodical

Acta Polytechnica

Volume

44

Number

5-6

State

Czech Republic

Pages from

110

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"
}