Detail publikace

Sensitivity analysis for parameters of prestressed concrete bridge using neural network ensemble.

PAN, L. LEHKÝ, D. NOVÁK, D. CAO, M.

Originální název

Sensitivity analysis for parameters of prestressed concrete bridge using neural network ensemble.

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper describes a neural network ensemble-based parameter sensitivity analysis. The proposed method is applied to prestressed concrete bridge. Three dominant parameters were identified for limit state of decompression and six dominant parameters for limit state of crack initiation.

Klíčová slova

Reliability, sensitivity analysis, neural network-ensemble, prestressed concrere bridge

Autoři

PAN, L.; LEHKÝ, D.; NOVÁK, D.; CAO, M.

Vydáno

14. 5. 2018

Místo

Svratka, Česká republika

ISBN

978-80-86246-88-8

Kniha

Engineering Mechanics 2018

ISSN

1805-8248

Periodikum

Engineering Mechanics ....

Stát

Česká republika

Strany od

637

Strany do

640

Strany počet

4

BibTex

@inproceedings{BUT156409,
  author="Lixia {Pan} and David {Lehký} and Drahomír {Novák} and Maosen {Cao}",
  title="Sensitivity analysis for parameters of prestressed concrete bridge using neural network ensemble.",
  booktitle="Engineering Mechanics 2018",
  year="2018",
  journal="Engineering Mechanics ....",
  pages="637--640",
  address="Svratka, Česká republika",
  isbn="978-80-86246-88-8",
  issn="1805-8248"
}