Publication detail

An adaptive ANN-based inverse response surface method

ŠOMODÍKOVÁ, M. LEHKÝ, D.

Original Title

An adaptive ANN-based inverse response surface method

Type

journal article in Web of Science

Language

English

Original Abstract

The paer deals with an adaptive artificial neural network-based inverse response surface method utilized when performing reliability-based design optimization of complex structural systems. Since calculating their reliability indicators (failure probabilities or reliability indices) is usually a time-consuming task, the utilization of approximation methods with a view to reducing the computational effort to an acceptable level is an appropriate solution.

Keywords

Artificial neural network, reliability-based design, structural systems, construction

Authors

ŠOMODÍKOVÁ, M.; LEHKÝ, D.

Released

1. 9. 2018

Location

Berlín

ISBN

0005-9900

Periodical

Beton und Stahlbeton

Year of study

113

Number

S2

State

Federal Republic of Germany

Pages from

38

Pages to

41

Pages count

4

URL

https://onlinelibrary.wiley.com/doi/abs/10.1002/best.201800043?af=R

BibTex

@article{BUT156412,
  author="Martina {Sadílková Šomodíková} and David {Lehký}",
  title="An adaptive ANN-based inverse response surface method",
  journal="Beton und Stahlbeton",
  year="2018",
  volume="113",
  number="S2",
  pages="38--41",
  doi="10.1002/best.201800043",
  issn="0005-9900",
  url="https://onlinelibrary.wiley.com/doi/abs/10.1002/best.201800043?af=R"
}