Simulation Metamodelling and the Application of Artificial Neural Networks: A Review Study

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dc.contributor.authorMozolová, Lucia
dc.contributor.authorGrznár, Patrik
dc.contributor.authorMozol, Štefan
dc.contributor.authorMatys, Marián
dc.contributor.editorMalaga, Miroslav
dc.contributor.editorBroum, Tomáš
dc.date.accessioned2025-11-29T12:03:25Z
dc.date.available2025-11-29T12:03:25Z
dc.date.issued2025
dc.description.abstract-translatedThis review study examines the principles, development, and applications of simulation metamodelling with a particular focus on artificial neural networks (ANNs) as an effective tool for simplifying complex simulations. The paper provides a comprehensive overview of metamodelling approaches, including traditional regression methods and modern ANN-based techniques. It analyses the historical development of simulation metamodelling globally and at the University of Žilina, outlines the mathematical principles underlying metamodels, and identifies their advantages and limitations. Special attention is given to ANNs as a progressive approach to metamodelling, highlighting their ability to process large datasets, model non-linear relationships, and adapt to changing conditions. The findings suggest that while traditional simulation metamodelling offers significant benefits for system analysis and optimisation, ANNs represent a particularly promising direction for future development, especially in complex manufacturing environments requiring real-time adaptability and handling of large datasets.en
dc.description.sponsorshipThis work was supported by the Slovak Research and Development Agency under the contract no. APVV-21- 0308. This article was created with support of VEGA project: VEGA 1/0150/24. This work was supported by the KEGA Agency under the contract no. 017ŽU-4/2025.en
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.24132/PI.2025.13287.159-168
dc.identifier.isbn978-80-261-1328-7
dc.identifier.urihttp://hdl.handle.net/11025/64176
dc.publisherZápadočeská univerzita v Plznics
dc.rights© autoři © Západočeská univerzita v Plznics
dc.subjectsimulační metamodelovánícs
dc.subjectumělé neuronové sítěcs
dc.subjecthistoriecs
dc.subject.translatedsimulation metamodellingen
dc.subject.translatedartificial neural networksen
dc.subject.translatedhistoryen
dc.titleSimulation Metamodelling and the Application of Artificial Neural Networks: A Review Studyen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer revieweden
dc.type.versionpublishedVersionen
local.files.count2*
local.files.size1301108*
local.has.filesyes*

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