Design of surrogate models in civil engineering by neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00378761" target="_blank" >RIV/68407700:21230/24:00378761 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/SEEDA-CECNSM63478.2024.00017" target="_blank" >https://doi.org/10.1109/SEEDA-CECNSM63478.2024.00017</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SEEDA-CECNSM63478.2024.00017" target="_blank" >10.1109/SEEDA-CECNSM63478.2024.00017</a>
Alternative languages
Result language
angličtina
Original language name
Design of surrogate models in civil engineering by neural networks
Original language description
We present a task from the critical infrastructure field in materials engineering. We created a surrogate model for the bridge construction object to determine the material parameters' values. The work aims to use neural networks to conduct an initial investigation of the task and to find out the aspects of machine learning application. To reduce the computational complexity of the models, we designed specific neural networks whose architecture corresponds to the structure and characteristics of the processed data. Furthermore, we outcome also interpretability and justification of the model's decision-making. The main contribution of the work is the replacement of the unknown or too complex physical, mathematical description of material objects with a neural network model. 2024 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/CK03000023" target="_blank" >CK03000023: Digital twin for increased reliability and sustainability of concrete bridges</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2024 9th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)
ISBN
979-8-3315-0448-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
42-49
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
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Event location
Agiou Spiridonos 28, Egaleo, Athens 12243
Event date
Sep 20, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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