Inverse Reliability Task: Artificial Neural Networks and Reliability-Based Optimization Approaches.

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F14%3APU113025" target="_blank" >RIV/00216305:26110/14:PU113025 - 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
Inverse Reliability Task: Artificial Neural Networks and Reliability-Based Optimization Approaches.
Original language description
The paper presents two alternative approaches to solve inverse reliability task ? to determine the design parameters to achieve desired target reliabilities. The first approach is based on utilization of artificial neural networks and small-sample simulation Latin hypercube sampling. The second approach considers inverse reliability task as reliability-based optimization task using double-loop method and also small-sample simulation.
Czech name
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Czech description
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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)<br>S - Specificky vyzkum na vysokych skolach

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 10th IFIP WG 12.5 International Conference Artificial Intelligence Applications and Inovations (AIAI 2014)
ISBN
978-3-662-44653-9
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
344-353
Publisher name
Neuveden
Place of publication
Řecko
Event location
Rhodos
Event date
Sep 19, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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