Application of an artificial neural network as a flight test data estimator
Author:
Affiliation:
1. Raytheon Aircraft Company, Wichita, Kansas 67201-0085
2. Wichita State University, Wichita, Kansas 67260-0044
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Aerospace Engineering
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