An adaptive ANN-based inverse response surface method

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F18%3APU131776" target="_blank" >RIV/00216305:26110/18:PU131776 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1002/best.201800059" target="_blank" >http://dx.doi.org/10.1002/best.201800059</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/best.201800059" target="_blank" >10.1002/best.201800059</a>

Result language

angličtina

Original language name

An adaptive ANN-based inverse response surface method

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20101 - Civil 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

2018

Confidentiality

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

Name of the periodical

Beton und Stahlbeton

ISSN

0005-9900

e-ISSN

1437-1006

Volume of the periodical

113

Issue of the periodical within the volume

S2

Country of publishing house

DE - GERMANY

Number of pages

4

Pages from-to

38-41

UT code for WoS article

000444410900008

EID of the result in the Scopus database

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