메뉴 건너뛰기




Volumn , Issue , 2006, Pages 4492-4497

Variable projection method and Levenberg-Marquardt algorithm for neural network training

Author keywords

[No Author keywords available]

Indexed keywords

CURVE FITTING; ELECTRONICS INDUSTRY; FEEDFORWARD NEURAL NETWORKS; GOLD; IMAGE CLASSIFICATION; INDUSTRIAL ELECTRONICS; LAGRANGE MULTIPLIERS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS;

EID: 50249137037     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2006.347644     Document Type: Conference Paper
Times cited : (9)

References (10)
  • 2
    • 0000803444 scopus 로고
    • The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variable Separate
    • G. H. Golub and V. Pereyra, "The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variable Separate," SIAM Journal on Numerical Analysis, vol. 10, no. 2, pp. 413-432, 1973.
    • (1973) SIAM Journal on Numerical Analysis , vol.10 , Issue.2 , pp. 413-432
    • Golub, G.H.1    Pereyra, V.2
  • 3
    • 0037390670 scopus 로고    scopus 로고
    • Separable nonlinear least squares: The variable projection method and its applications
    • G. H. Golub and V. Pereyra, "Separable nonlinear least squares: the variable projection method and its applications," Inverse Problems, vol. 19, pp. R1-R26, 2003.
    • (2003) Inverse Problems , vol.19
    • Golub, G.H.1    Pereyra, V.2
  • 4
    • 0032123629 scopus 로고    scopus 로고
    • A Hybrid LinearNonlinear Training Algorithm for Feedforward Neural Networks
    • S. McLoone, M. D. Brown, G. Irwin and G. Lightbody, "A Hybrid LinearNonlinear Training Algorithm for Feedforward Neural Networks," IEEE Trans. Neural Networks, vol. 9, no. 4, pp. 669-684, 1998.
    • (1998) IEEE Trans. Neural Networks , vol.9 , Issue.4 , pp. 669-684
    • McLoone, S.1    Brown, M.D.2    Irwin, G.3    Lightbody, G.4
  • 5
    • 0028543366 scopus 로고
    • Training Feedforward Networks with the Marquardt Algorithm
    • M. T. Hagan and M. B. Menhaj, "Training Feedforward Networks with the Marquardt Algorithm," IEEE Trans. Neural Networks, vol. 5, no. 6, pp. 989-993, 1994.
    • (1994) IEEE Trans. Neural Networks , vol.5 , Issue.6 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.B.2
  • 6
    • 50249143293 scopus 로고    scopus 로고
    • KALMAN FILTERING AND NEURAL NETWORKS, JOHN WILEY & SONS, INC., New York
    • S. Haykin, KALMAN FILTERING AND NEURAL NETWORKS, JOHN WILEY & SONS, INC., New York., Unite States of America, 2001.
    • (2001) Unite States of America
    • Haykin, S.1
  • 8
    • 50249170703 scopus 로고    scopus 로고
    • S. Haykin, NEURAL NETWORKS.Prentice-Hall, Inc., New Jersey, United States of America, 1999.
    • S. Haykin, NEURAL NETWORKS.Prentice-Hall, Inc., New Jersey, United States of America, 1999.
  • 10
    • 0031380999 scopus 로고    scopus 로고
    • Separable non-linear least squares minimization - possible improvements for neural net fitting
    • Amelia Island Plantation, FL
    • J. Sjöberg and M. Viberg, "Separable non-linear least squares minimization - possible improvements for neural net fitting" IEEE Workshop in Neural Networks for Signal Processing, Amelia Island Plantation, FL, 1997.
    • (1997) IEEE Workshop in Neural Networks for Signal Processing
    • Sjöberg, J.1    Viberg, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.