首页|Findings from Harbin Institute of Technology Provides New Data about Machine Lea rning (Machine Learning-based Reduced-order Reconstruction Method for Flow Field s)
Findings from Harbin Institute of Technology Provides New Data about Machine Lea rning (Machine Learning-based Reduced-order Reconstruction Method for Flow Field s)
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Investigators discuss new findings in Machine Learning. According to news originating from Harbin, People's Republic o f China, by NewsRx correspondents, research stated, "The real-time prediction of flow fields has scientific and engineering significance, although it is current ly challenging. To address this issue, we propose a nonintrusive supervised redu ced-order machine learning framework for flow-field reconstruction, referred to as ROR, to achieve real-time flow-field prediction." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from the Harbin Institut e of Technology, "The model predicts a signed distance function of the domain an d uses a typical flow field as feature extraction objects. Utilizing a cross-fit method, it efficiently combines these features, enabling rapid prediction of th e full-order flow field. During the model validation phase, we assess the perfor mance of our model by reconstructing steady-state two-dimensional indoor flows i n different room layouts. The results indicate that our model accurately predict s the flow field in the target indoor layout within a short timeframe (approxima tely 5 s) and demonstrates robustness. To delve deeper into the model performanc e, we discuss the specific parameters of the model framework and test the effect iveness of the flow-field reconstruction under different air supply modes, with the results showing a mean squared error (MSE) of less than 1.5 %. Additionally, we compare our model with the fourier neural operator (FNO) model and find that it exhibited superior performance with the same number of training steps."
HarbinPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesEngineeringMachine LearningHarbin Institut e of Technology
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