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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F14%3APU113028" target="_blank" >RIV/00216305:26110/14:PU113028 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20102 - Construction engineering, Municipal and structural engineering

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

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

ISBN

978-1-78466-044-4

ISSN

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e-ISSN

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Number of pages

9

Pages from-to

161-169

Publisher name

Neuveden

Place of publication

Beijing

Event location

Peking

Event date

Aug 19, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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