Publikationsdatum:
2019-07-17
Beschreibung:
The use of probabilistic (PNN) and multilayer feed forward (MLFNN) neural networks are investigated for calibration of multi-hole pressure probes and the prediction of associated flow angularity patterns in test flow fields. Both types of networks are studied in detail for their calibration and prediction characteristics. The current formalism can be applied to any multi-hole probe, however the test results for the most commonly used five-hole Cone and Prism probe types alone are reported in this article.
Schlagwort(e):
Cybernetics
Materialart:
International Confernce on Advances in Patter Recognition; Nov 23, 1998; Plymouth; United Kingdom
Format:
text
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