Detail publikace

Sensitivity analysis strategies for artificial neural networks modelling of engineering problems.

NOVÁK, D. LEHKÝ, D. PAN, L. CAO, M.

Originální název

Sensitivity analysis strategies for artificial neural networks modelling of engineering problems.

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper presents two different strategies for sensitivity analysis related to artificial neural networks: nonparametric rank-order statistical correlation and neural network committee-based sensitivity analysis. Numerical examples illustrate the usefulness and feasibility of both alternative approaches.

Klíčová slova

Sensitivity analysis, neural networks, simulation, prediction model.

Autoři

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

Rok RIV

2014

Vydáno

19. 8. 2014

Místo

Beijing

ISBN

978-1-78466-044-4

Kniha

Proceedings of the International Conference on Civil, Urban and Environmental Engineering (CUEE2014)

Strany od

161

Strany do

169

Strany počet

9

BibTex

@inproceedings{BUT112916,
  author="Drahomír {Novák} and David {Lehký} and L. {Pan} and Maosen {Cao}",
  title="Sensitivity analysis strategies for artificial neural networks modelling of engineering problems.",
  booktitle="Proceedings of the International Conference on Civil, Urban and Environmental Engineering (CUEE2014)",
  year="2014",
  pages="161--169",
  address="Beijing",
  isbn="978-1-78466-044-4"
}