Artificial neural networks in calibration of nonlinear models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F12%3A00199124" target="_blank" >RIV/68407700:21110/12:00199124 - 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
Artificial neural networks in calibration of nonlinear models
Original language description
Last decades witness rapid development in numerical modelling of structures as well as materials and the complexity of models increases quickly together with their computational demands. Despite the growing performance of modern computers and clusters, asuitable approximation of an exhaustive simulation has still many applications in engineering problems. For example, the field of parameters identification may represent a large domain for very efficient applications. The layered neural networks are still considered as very general tools for approximation and they became popular especially for their simple implementation. This contribution presents different strategies for application of neural networks in calibration of nonlinear models and discussestheir possible advantages and drawbacks.
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)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Life-Cycle and Sustainability of Civil Infrastructure Systems
ISBN
978-0-415-62126-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
2225-2232
Publisher name
CRC Press/Balkema
Place of publication
Leiden
Event location
Wien
Event date
Oct 3, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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