Calibration of Affinity Hydration Model Using Artificial Neural Networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F12%3A00199123" target="_blank" >RIV/68407700:21110/12:00199123 - 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
Calibration of Affinity Hydration Model Using Artificial Neural Networks
Original language description
This contribution presents different strategies for application of neural networks in calibration of affinity hydration model and discusses their possible advantages and drawbacks. Precision of described methods is illustrated on simulated as well as experimental data.
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 3rd Conference Nano and Macro Mechanics NMM 2012
ISBN
978-80-01-05097-2
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
155-162
Publisher name
České vysoké učení technické v Praze, Fakulta stavební
Place of publication
Praha
Event location
Prague
Event date
Sep 20, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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Result description