Application of Artificial Neural Networks in Identification of Affinity Hydration Model Parameters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F12%3A00195507" target="_blank" >RIV/68407700:21110/12:00195507 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application of Artificial Neural Networks in Identification of Affinity Hydration Model Parameters
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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Classification
Type
D - Article in proceedings
CEP classification
JN - Civil engineering
OECD FORD branch
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Result continuities
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)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Eighth International Conference on Engineering Computational Technology
ISBN
978-1-905088-55-3
ISSN
1759-3433
e-ISSN
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Number of pages
14
Pages from-to
1-14
Publisher name
Civil-Comp Press Ltd
Place of publication
Stirling
Event location
Dubrovnik
Event date
Sep 4, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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