http://www.colloquiam.com/wd/index.php?action=history&feed=atom&title=Morozova_et_al_2021aMorozova et al 2021a - Revision history2026-05-16T20:03:03ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10http://www.colloquiam.com/wd/index.php?title=Morozova_et_al_2021a&diff=220060&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 923219367 to Morozova et al 2021a2021-03-11T16:44:22Z<p>Scipediacontent moved page <a href="/public/Draft_Content_923219367" class="mw-redirect" title="Draft Content 923219367">Draft Content 923219367</a> to <a href="/public/Morozova_et_al_2021a" title="Morozova et al 2021a">Morozova et al 2021a</a></p>
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<td colspan='1' style="background-color: white; color:black; text-align: center;">Revision as of 16:44, 11 March 2021</td>
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</td></tr></table>Scipediacontenthttp://www.colloquiam.com/wd/index.php?title=Morozova_et_al_2021a&diff=220059&oldid=prevScipediacontent: Created page with "== Abstract == In this work, we study the accuracy of CFD-based data-driven models, which predict comfortrelated flow parameters in a ventilated cavity with a heated floor. W..."2021-03-11T16:44:19Z<p>Created page with "== Abstract == In this work, we study the accuracy of CFD-based data-driven models, which predict comfortrelated flow parameters in a ventilated cavity with a heated floor. W..."</p>
<p><b>New page</b></p><div>== Abstract ==<br />
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In this work, we study the accuracy of CFD-based data-driven models, which predict comfortrelated flow parameters in a ventilated cavity with a heated floor. We compare the computational cost and accuracy of three different models, namely artificial neural network, support vector regression, and gradient boosting regression. The tested scenarios include short and long cavities with different inlet velocities. Among the studied frameworks, the artificial neural network provides the most accurate predictions for most of the tested flow configurations. However, test configurations with jet separation and a secondary vortex are more difficult to predict correctly; thus more high-fidelity data is required in order to construct a more robust and reliable model.<br />
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== Full document ==<br />
<pdf>Media:Draft_Content_923219367p6025.pdf</pdf></div>Scipediacontent