A clustering-assisted fuzzy inference system is reported to cut the parameter count for airfoil noise regression from 18,825 to 90, but the paper provides no quantitative error metrics to confirm that accuracy is preserved.
: Airfoil self-noise prediction using deep neural networks
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Comparative of Genetic Fuzzy regression techniques for aeroacoustic phenomenons
A clustering-assisted fuzzy inference system is reported to cut the parameter count for airfoil noise regression from 18,825 to 90, but the paper provides no quantitative error metrics to confirm that accuracy is preserved.