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Volumn , Issue , 2013, Pages 424-429

Extreme learning machine with multiple kernels

Author keywords

[No Author keywords available]

Indexed keywords

EXTREME LEARNING MACHINE; GENERALIZATION PERFORMANCE; HIDDEN NODES; KERNEL FUNCTION; MULTIPLE KERNELS; PRIOR KNOWLEDGE; SINGLE-HIDDEN LAYER FEEDFORWARD NEURAL NETWORKS; WEIGHTED SUM;

EID: 84882445782     PISSN: 19483449     EISSN: 19483457     Source Type: Conference Proceeding    
DOI: 10.1109/ICCA.2013.6565148     Document Type: Conference Paper
Times cited : (18)

References (19)
  • 1
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Elsevier
    • K. Hornik, M. Stinchcombe, H. White, Multilayer feedforward networks are universal approximators, Neural networks, 1989 - Elsevier.
    • (1989) Neural Networks
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 2
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • 8 October
    • Rumelhart, David E Hinton, Geoffrey E, Williams, Ronald J. (8 October 1986). "Learning representations by back-propagating errors". Nature 323(6088):533-536.
    • (1986) Nature , vol.323 , Issue.6088 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 4
    • 33745903481 scopus 로고    scopus 로고
    • Extreme learning machine: Theory and applications
    • G.-B. Huang, Q. Zhu, and C. Siew, Extreme learning machine: theory and applications", Neurocomputing, vol. 70, no. 1, pp. 489-501, 2006.
    • (2006) Neurocomputing , vol.70 , Issue.1 , pp. 489-501
    • Huang, G.-B.1    Zhu, Q.2    Siew, C.3
  • 5
    • 0027262895 scopus 로고
    • . Approximation capabilities of multilayer feedforword networks
    • K. Hornik, ". Approximation capabilities of multilayer feedforword networks", Neural Networks, vol. 6, pp. 861-867, 1993.
    • (1993) Neural Networks , vol.6 , pp. 861-867
    • Hornik, K.1
  • 7
    • 22844440904 scopus 로고    scopus 로고
    • Evolutionary extreme learning machine
    • Q. Zhu, A. Qin, P. Suganthan, and G.-B. Huang, Evolutionary extreme learning machine", Pattern recognition, vol. 38, no. 10, pp. 1759-1763, 2005.
    • (2005) Pattern Recognition , vol.38 , Issue.10 , pp. 1759-1763
    • Zhu, Q.1    Qin, A.2    Suganthan, P.3    Huang, G.-B.4
  • 9
    • 34047174077 scopus 로고    scopus 로고
    • A fast and accurate online sequential learning algorithm for feedforward networks
    • NOVEMBER
    • Nan-Ying Liang, Guang-Bin Huang. A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks. IEEE transactions ON neural NETWORKS, VOL. 17, NO. 6, NOVEMBER 2006.
    • (2006) IEEE Transactions ON Neural NETWORKS , vol.17 , Issue.6
    • Liang, N.-Y.1    Huang, G.-B.2
  • 10
    • 77954304408 scopus 로고    scopus 로고
    • Ensemble based extreme learning machine
    • N. Liu and H. Wang, Ensemble based extreme learning machine", SignalProcessing Letters, IEEE, vol. 17, no. 8, pp. 754-757, 2010.
    • (2010) SignalProcessing Letters, IEEE , vol.17 , Issue.8 , pp. 754-757
    • Liu, N.1    Wang, H.2
  • 12
    • 0026479224 scopus 로고
    • Anomximation of continuous functions on Rd bv linear linear combinations of shifted rotations of a sigmoid function with and without scaling
    • Y. Ito "Anomximation of continuous functions on Rd bv linear linear combinations of shifted rotations of a sigmoid function with and without scaling", Neural Networks, vol. 5, pp. 105-115, 1992.
    • (1992) Neural Networks , vol.5 , pp. 105-115
    • Ito, Y.1
  • 13
    • 0030702721 scopus 로고    scopus 로고
    • Gauss-newton approximation to bayesian learning. Neural networks, 1997
    • Dan Foresee, F. and Hagan, M. T. Gauss-Newton approximation to Bayesian learning. Neural Networks, 1997. International Conference on IEEE. 1997(3):1930-1935.
    • International Conference on IEEE , vol.1997 , Issue.3 , pp. 1930-1935
    • Dan Foresee, F.1    Hagan, M.T.2
  • 14
    • 0003106837 scopus 로고
    • Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem
    • Elsevier
    • P. Smets. Belief functions: the disjunctive rule of combination and the generalized Bayesian theorem. International Journal of Approximate Reasoning, 1993 - Elsevier.
    • (1993) International Journal of Approximate Reasoning
    • Smets, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.