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Preprint article
Reducing Wind Tunnel Data Requirements Using Neural Networks
The use of neural networks to minimize the amount of data required to completely define the aerodynamic performance of a wind tunnel model is examined. The accuracy requirements for commercial wind tunnel test data are very severe and are difficult to reproduce using neural networks
Year: 1997
Language: Undetermined
