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NTIS 바로가기한국항공우주학회지 = Journal of the Korean Society for Aeronautical & Space Sciences, v.49 no.11, 2021년, pp.901 - 907
이정용 (Interdisciplinary Program in Space Systems, Seoul National University) , 이복직 (Department of Aerospace Engineering, Seoul National University)
The present study introduces an artificial neural network (ANN) that can predict the missile aerodynamic coefficients for various missile nose shapes and flow conditions such as Mach number and angle of attack. A semi-empirical missile aerodynamics code is utilized to generate a dataset comprised of...
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