Detail publikačního výsledku

Identification of material model parameters using stochastic training of neural network

LEHKÝ, D., NOVÁK, D.

Originální název

Identification of material model parameters using stochastic training of neural network

Anglický název

Identification of material model parameters using stochastic training of neural network

Druh

Stať ve sborníku v databázi WoS či 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 the artificial neural network. Model parameters play the role of random variables. MC type simulation method is then used. The simulation serves for training of 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 the artificial neural network. Model parameters play the role of random variables. MC type simulation method is then used. The simulation serves for training of neural network.

Klíčová slova v angličtině

Neural network, fracture mechanics, Monte Carlo simulation, identification.

Autoři

LEHKÝ, D., NOVÁK, D.

Rok RIV

2011

Vydáno

16.06.2004

Nakladatel

Taylor & Francis Group

Místo

London

ISBN

90-5809-676-9

Kniha

5th International PhD Symposium in Civil Engineering

Strany od

535

Strany počet

8

BibTex

@inproceedings{BUT12089,
  author="David {Lehký} and Drahomír {Novák}",
  title="Identification of material model parameters using stochastic training of neural network",
  booktitle="5th International PhD Symposium in Civil Engineering",
  year="2004",
  pages="8",
  publisher="Taylor & Francis Group",
  address="London",
  isbn="90-5809-676-9"
}