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Volumn 39, Issue 3, 2002, Pages 452-459

Designing compact feedforward neural models with small training data sets

Author keywords

[No Author keywords available]

Indexed keywords

AERODYNAMICS; BACKPROPAGATION; FEEDFORWARD NEURAL NETWORKS; FUNCTIONS; GENETIC ALGORITHMS; OPTIMIZATION; REGRESSION ANALYSIS;

EID: 0036575744     PISSN: 00218669     EISSN: None     Source Type: Journal    
DOI: 10.2514/2.2950     Document Type: Article
Times cited : (8)

References (22)
  • 1
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    • First- and second-order methods for learning: Between steepest descent and Newton's method
    • (1992) Neural Computation , vol.4 , Issue.2 , pp. 141-166
    • Battiti, R.1
  • 2
    • 0003394516 scopus 로고    scopus 로고
    • Two-dimensional high-lift aerodynamic optimization using neural networks
    • Ph.D. Dissertation, Aeronautical and Astronautical Engineering Dept., Stanford Univ., Stanford, CA, May; also NASA TM 112233, June 1998
    • (1998)
    • Greenman, R.M.1
  • 6
    • 0009525087 scopus 로고    scopus 로고
    • Manual for the OVERMAGG script system
    • NASA Ames Research Center, July
    • (1997)
    • Rogers, S.1
  • 7
    • 0009552293 scopus 로고
    • Progress in high-lift aerodynamic calculations
    • AIAA Paper 93-0194, Jan
    • (1993)
    • Rogers, S.1
  • 11
    • 0025383933 scopus 로고
    • Upwind differencing scheme for the time-accurate incompressible Navier-Stokes equations
    • (1990) AIAA Journal , vol.28 , Issue.2 , pp. 253-262
    • Rogers, S.E.1    Kwak, D.2
  • 13
    • 0009493050 scopus 로고
    • Application of the incompressible Navier-Stokes equations to high-lift flows
    • AIAA Paper 94-1872, June
    • (1994)
    • Dominik, C.1
  • 19
    • 85006842164 scopus 로고
    • Estimating expected error rates of neural network classifiers in small sample situations: A comparison of cross-validation and bootstrap
    • Inst. of Electrical and Electronics Engineers, IEEE Paper 0-7803-2768-3
    • (1995)
    • Ueda, N.1    Nakano, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.