Minimizing computational data requirements for multi-element airfoils using neural networks

37th Aerospace Sciences Meeting and Exhibit

Volumn , Issue , 1999, Pages

  Greenman, Roxana M ^a   Roth, Karlin R ^a  

^a NASA AMES RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSPACE ENGINEERING; AIRFOILS; ANGLE OF ATTACK; GENETIC ALGORITHMS; LIFT; NASA; NAVIER STOKES EQUATIONS; NUMERICAL METHODS; TURBULENCE MODELS;

AERODYNAMIC COEFFICIENTS; INCOMPRESSIBLE NAVIER-STOKES; LEVENBERG-MARQUARDT ALGORITHM; MAXIMUM LIFT COEFFICIENT; MULTIPLE INPUT , SINGLE OUTPUTS; OPTIMIZATION PROCEDURES; SPALART-ALLMARAS TURBULENCE MODEL; TRAINED NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 84983168576     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.1999-258     Document Type: Conference Paper

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