Detail publikace

Identification of material model parameters using stochastic training of neural network

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

Jazyk

en

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.

BibTex


@inproceedings{BUT12089,
  author="David {Lehký} and Drahomír {Novák}",
  title="Identification of material model parameters using stochastic training of neural network",
  annote="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.",
  address="Taylor & Francis Group",
  booktitle="5th International PhD Symposium in Civil Engineering",
  chapter="12089",
  institution="Taylor & Francis Group",
  year="2004",
  month="june",
  pages="535",
  publisher="Taylor & Francis Group",
  type="conference paper"
}