메뉴 건너뛰기




Volumn 3, Issue 2, 1996, Pages 91-99

A least third-order cumulants objective function

Author keywords

Least cumulants based backpropagation; Least Cumulants Method; Objective function; Third order cumulants

Indexed keywords

BACKPROPAGATION; LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS;

EID: 0030157319     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF00571682     Document Type: Article
Times cited : (5)

References (17)
  • 1
    • 0029182199 scopus 로고
    • An accelerated learning algorithm for multilayer perceptrons: Optimization layer by layer
    • S. Ergezinger and E. Thomsen, "An accelerated learning algorithm for multilayer perceptrons: optimization layer by layer", IEEE Trans. Neural Networks, Vol. 6, No. 1, pp. 31-42, 1995.
    • (1995) IEEE Trans. Neural Networks , vol.6 , Issue.1 , pp. 31-42
    • Ergezinger, S.1    Thomsen, E.2
  • 2
    • 0004305684 scopus 로고
    • Accelerated training algorithm for feedforward neural networks based on least squares method
    • Y.F. Yam and T.W.S. Chow, "Accelerated training algorithm for feedforward neural networks based on least squares method", Neural Processing Letters, Vol. 2, No. 4, pp. 20-25, 1995.
    • (1995) Neural Processing Letters , vol.2 , Issue.4 , pp. 20-25
    • Yam, Y.F.1    Chow, T.W.S.2
  • 3
    • 0001942829 scopus 로고
    • Neural networks and the bias/variance dilemma
    • S. Geman, E. Bienenstock and R. Doursat, "Neural networks and the bias/variance dilemma", Neural Computation, Vol. 4, pp. 1-58, 1992.
    • (1992) Neural Computation , vol.4 , pp. 1-58
    • Geman, S.1    Bienenstock, E.2    Doursat, R.3
  • 4
    • 0001219859 scopus 로고
    • Regularization theory and neural networks architectures
    • F. Girosi, M. Jones and T. Poggio, "Regularization theory and neural networks architectures", Neural Computation, Vol. 7, pp. 219-269, 1995.
    • (1995) Neural Computation , vol.7 , pp. 219-269
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 6
    • 0028428006 scopus 로고    scopus 로고
    • A robust back propagation learning algorithm for function approximation
    • D.S. Chen and R.C. Jain, "A robust back propagation learning algorithm for function approximation", IEEE Trans. Neural Networks, Vol. 5, No. 3, pp. 467-479.
    • IEEE Trans. Neural Networks , vol.5 , Issue.3 , pp. 467-479
    • Chen, D.S.1    Jain, R.C.2
  • 7
    • 0029156915 scopus 로고
    • Robustization of a learning method for RBF networks
    • V.D.A. Sánchez, "Robustization of a learning method for RBF networks", Neurocomputing, Vol. 9, pp. 88-94, 1995.
    • (1995) Neurocomputing , vol.9 , pp. 88-94
    • Sánchez, V.D.A.1
  • 8
    • 0000539096 scopus 로고    scopus 로고
    • Generalization by weight elimination with application to forecasting
    • R.P. Lippman and J. Moody (eds) Morgan Kaufmann: San Mateo, CA
    • A. Weigend, D. Rumelhart and B. Huberman, "Generalization by weight elimination with application to forecasting", in R.P. Lippman and J. Moody (eds) Advances in Neural Information Processing III, pp. 875-882, Morgan Kaufmann: San Mateo, CA.
    • Advances in Neural Information Processing III , pp. 875-882
    • Weigend, A.1    Rumelhart, D.2    Huberman, B.3
  • 9
    • 84943236576 scopus 로고
    • On design and evaluation of tapped-delay neural network architechtures
    • San Francisco, IEEE Press: New York
    • C. Svarer, L.K. Hansen and J. Larsen, "On design and evaluation of tapped-delay neural network architechtures", Proc. of IEEE International Conference on Neural Networks, San Francisco, pp. 46-51, IEEE Press: New York, 1993.
    • (1993) Proc. of IEEE International Conference on Neural Networks , pp. 46-51
    • Svarer, C.1    Hansen, L.K.2    Larsen, J.3
  • 11
    • 0026119462 scopus 로고
    • Tutorial on higher-order statistics (spectra) in signal processing and system theory: Theoretical results and some applications
    • J.M. Mendel, "Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications", Proc. IEEE, Vol. 79, No. 3, pp. 278-305, 1991.
    • (1991) Proc. IEEE , vol.79 , Issue.3 , pp. 278-305
    • Mendel, J.M.1
  • 12
    • 0023383894 scopus 로고
    • Bispectrum estimation: A digital signal processing framework
    • C.L. Nikias and M.R. Raghuveer, "Bispectrum estimation: a digital signal processing framework", Proc. IEEE, Vol. 75, No. 7, pp. 869-891, 1987.
    • (1987) Proc. IEEE , vol.75 , Issue.7 , pp. 869-891
    • Nikias, C.L.1    Raghuveer, M.R.2
  • 13
    • 0026836633 scopus 로고
    • A unifying view of cumulant and polyspectral measures for nonGaussian signal classification and estimation
    • G.B. Giannakis and M.K. Tsatsanis, "A unifying view of cumulant and polyspectral measures for nonGaussian signal classification and estimation", IEEE Trans. Information Theory, Vol. 38, pp. 386-406, 1992.
    • (1992) IEEE Trans. Information Theory , vol.38 , pp. 386-406
    • Giannakis, G.B.1    Tsatsanis, M.K.2
  • 14
    • 26444552018 scopus 로고    scopus 로고
    • A fourth-order cumulants based robust backprogation algorithm
    • submitted
    • C.T. Leung and T.W.S. Chow, "A fourth-order cumulants based robust backprogation algorithm", Neural Computation (submitted).
    • Neural Computation
    • Leung, C.T.1    Chow, T.W.S.2
  • 15
    • 0000003175 scopus 로고    scopus 로고
    • Threshold autoregression, limited cycles and cyclical data
    • H. Tong and K. Lim, "Threshold autoregression, limited cycles and cyclical data", J. R. Stat. Soc., Vol. 42, pp. 245-292.
    • J. R. Stat. Soc. , vol.42 , pp. 245-292
    • Tong, H.1    Lim, K.2
  • 16
    • 0002515823 scopus 로고
    • Unsupervised mutual information criterion for elimination of overtraining in supervised multilayer networks
    • G. Deco, W. Finnoff and H.G. Zimmermann, "Unsupervised mutual information criterion for elimination of overtraining in supervised multilayer networks", Neural Computation, Vol. 7, pp. 86-107, 1995.
    • (1995) Neural Computation , vol.7 , pp. 86-107
    • Deco, G.1    Finnoff, W.2    Zimmermann, H.G.3
  • 17
    • 0343096109 scopus 로고    scopus 로고
    • Single layer perceptron
    • Department of Electrical and Electronic Engineering, University of Hong Kong
    • A.C. Tsoi, "Single layer perceptron", Lecture Notes on Neural Network, Department of Electrical and Electronic Engineering, University of Hong Kong.
    • Lecture Notes on Neural Network
    • Tsoi, A.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.