NASA NTRS · 20000076809
Application of Neural Networks to Wind tunnel Data Response Surface Methods
Abstract
The integration of nonlinear neural network methods with conventional linear regression techniques is demonstrated for representative wind tunnel force balance data modeling. This work was motivated by a desire to formulate precision intervals for response surfaces produced by neural networks. Applications are demonstrated for representative wind tunnel data acquired at NASA Langley Research Center and the Arnold Engineering Development Center in Tullahoma, TN.
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Lo, Ching F., Zhao, J. L., DeLoach, Richard. 2000-01-01. Application of Neural Networks to Wind tunnel Data Response Surface Methods. https://ntrs.nasa.gov/citations/20000076809
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