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Volumn 36, Issue 5, 1999, Pages 777-784

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

Author keywords

[No Author keywords available]

Indexed keywords

AERODYNAMICS; COMPUTATIONAL METHODS; GENETIC ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NAVIER STOKES EQUATIONS; NEURAL NETWORKS; OPTIMIZATION; TURBULENT FLOW;

EID: 0033366486     PISSN: 00218669     EISSN: None     Source Type: Journal    
DOI: 10.2514/2.2533     Document Type: Article
Times cited : (20)

References (31)
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  • 2
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  • 9
    • 0029373941 scopus 로고
    • Application of an artificial neural network as a flight test data estimator
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    • (1995) Journal of Aircraft , vol.32 , Issue.5 , pp. 1088-1094
    • McMillen, R.L.1    Steck, J.E.2    Rokhsaz, K.3
  • 14
    • 0003394516 scopus 로고    scopus 로고
    • Ph.D. Dissertation, Aeronautical and Astronautical Engineering Department, Stanford Univ., Stanford, CA, May 1998; also NASA TM 112233, June
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    • (1998) Two-dimensional High-lift Aerodynamic Optimization Using Neural Networks
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  • 15
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    • Greenman, R. M., and Roth, K. R., "High-Lift Optimization Design Using Neural Networks on a Multi-Element Airfoil," Proceedings of the Computers in Engineering Conference, American Society of Mechanical Engineers, DETC98/CIE-6006, Sept. 1998.
    • (1998) Proceedings of the Computers in Engineering Conference
    • Greenman, R.M.1    Roth, K.R.2
  • 20
    • 0003969503 scopus 로고
    • Arnold Engineering and Development Center, TR-91-8, Arnold AFB, TN, Nov.
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    • (1991) PEGSUS 4.0 User's Manual
    • Suhs, N.E.1    Tramel, R.W.2
  • 21
    • 0026207564 scopus 로고
    • An upwind differencing scheme for the steady state incompressible navier-stokes equations
    • Aug.
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  • 22
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  • 27
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.