Detail publikačního výsledku

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

NOVÁK, D., LEHKÝ, D.

Originální název

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

Anglický název

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

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

NOVÁK, D., LEHKÝ, D.

Vydáno

01.01.2004

ISSN

1210-2709

Periodikum

Acta Polytechnica

Svazek

44

Číslo

5-6

Stát

Česká republika

Strany od

110

Strany počet

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"
}