Artificial Neural Networks in Parameter Identification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F12%3A00200025" target="_blank" >RIV/68407700:21110/12:00200025 - 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 Parameter Identification
Original language description
Recent decades have witnessed rapid development in numerical modelling of structures as well as materials and the complexity of models increases rapidly together with their computational demands. Despite the growing performance of modern computers and clusters, a suitable 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 affinity hydration model and discusses their possible advantages and drawbacks.
Czech name
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Czech description
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Project
<a href="/en/project/GPP105%2F11%2FP370" target="_blank" >GPP105/11/P370: Artificial neural networks in multi-scale modelling of transport processes in heterogeneous materials</a><br>
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
Proceedings of the 6th European Congress on Computational Methods in Applied Sciences and Engineering
ISBN
978-3-9502481-9-7
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
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Publisher name
Vienna University of Technology
Place of publication
Vienna
Event location
Vídeň
Event date
Sep 10, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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