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Volumn 23, Issue 9, 2012, Pages 1498-1505

Bidirectional extreme learning machine for regression problem and its learning effectiveness

Author keywords

Feedforward neural network; learning effectiveness; number of hidden nodes; universal approximation

Indexed keywords

CONVENTIONAL METHODS; EFFICIENT LEARNING; ELM ALGORITHMS; EXTREME LEARNING MACHINE; HIDDEN NODES; LEARNING EFFECTIVENESS; REGRESSION PROBLEM; UNIVERSAL APPROXIMATION;

EID: 84876924052     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2012.2202289     Document Type: Article
Times cited : (195)

References (13)
  • 1
    • 10944242408 scopus 로고    scopus 로고
    • Real-time learning capability of neural networks
    • Nanyang Technological Univ., Singapore, Tech. Rep. ICIS/45/2003
    • G. B. Huang, Q. Y. Zhu, and C. K. Siew, "Real-time learning capability of neural networks," School Electr. Electron. Eng., Nanyang Technological Univ., Singapore, Tech. Rep. ICIS/45/2003, 2003.
    • (2003) School Electr. Electron. Eng.
    • Huang, G.B.1    Zhu, Q.Y.2    Siew, C.K.3
  • 2
    • 33745903481 scopus 로고    scopus 로고
    • Extreme learning machine: Theory and applications
    • G. B. Huang, Q. Y. Zhu, and C. K. Siew, "Extreme learning machine: Theory and applications," Neurocomputing, vol. 70, nos. 1-3, pp. 489-501, 2006.
    • (2006) Neurocomputing , vol.70 , Issue.1-3 , pp. 489-501
    • Huang, G.B.1    Zhu, Q.Y.2    Siew, C.K.3
  • 3
    • 10944272650 scopus 로고    scopus 로고
    • Extreme learning machine: A new learning scheme of feedforward neural networks
    • Budapest, Hungary Jul
    • G. B. Huang, Q. Y. Zhu, and C. K. Siew, "Extreme learning machine: A new learning scheme of feedforward neural networks," in Proc. Int. Joint Conf. Neural Netw., vol. 2. Budapest, Hungary, Jul. 2004, pp. 985-990.
    • (2004) Proc. Int. Joint Conf. Neural Netw , vol.2 , pp. 985-990
    • Huang, G.B.1    Zhu, Q.Y.2    Siew, C.K.3
  • 4
    • 0031236099 scopus 로고    scopus 로고
    • Objective functions for training new hidden units in constructive neural networks
    • Sep
    • T. Y. Kwok and D. Y. Yeung, "Objective functions for training new hidden units in constructive neural networks," IEEE Trans. Neural Netw., vol. 8, no. 5, pp. 1131-1148, Sep. 1997.
    • (1997) IEEE Trans. Neural Netw , vol.8 , Issue.5 , pp. 1131-1148
    • Kwok, T.Y.1    Yeung, D.Y.2
  • 5
    • 78650010629 scopus 로고    scopus 로고
    • Two-stage extreme learning machine for regression
    • Y. Lan, Y. C. Soh, and G. B. Huang, "Two-stage extreme learning machine for regression," Neurocomputing, vol. 73, nos. 16-18, pp. 3028-3038, 2010.
    • (2010) Neurocomputing , vol.73 , Issue.16-18 , pp. 3028-3038
    • Lan, Y.1    Soh, Y.C.2    Huang, G.B.3
  • 7
    • 34047174077 scopus 로고    scopus 로고
    • A fast and accurate online sequential learning algorithm for feedforward networks
    • Nov
    • N. Y. Liang, G. B. Huang, P. Saratchandran, and N. Sundararajan, "A fast and accurate online sequential learning algorithm for feedforward networks," IEEE Trans. Neural Netw., vol. 17, no. 6, pp. 1411-1423, Nov. 2006.
    • (2006) IEEE Trans. Neural Netw , vol.17 , Issue.6 , pp. 1411-1423
    • Liang, N.Y.1    Huang, G.B.2    Saratchandran, P.3    Sundararajan, N.4
  • 8
    • 33745918399 scopus 로고    scopus 로고
    • Universal approximation using incremental constructive feedforward networks with random hidden nodes
    • Jul
    • G. B. Huang, L. Chen, and C. K. Siew, "Universal approximation using incremental constructive feedforward networks with random hidden nodes," IEEE Trans. Neural Netw., vol. 17, no. 4, pp. 879-892, Jul. 2006.
    • (2006) IEEE Trans. Neural Netw , vol.17 , Issue.4 , pp. 879-892
    • Huang, G.B.1    Chen, L.2    Siew, C.K.3
  • 9
    • 56549090053 scopus 로고    scopus 로고
    • Enhanced random search based incremental extreme learning machine
    • G. B. Huang and L. Chen, "Enhanced random search based incremental extreme learning machine," Neurocomputing, vol. 71, nos. 16-18, pp. 3460-3468, 2008.
    • (2008) Neurocomputing , vol.71 , Issue.16-18 , pp. 3460-3468
    • Huang, G.B.1    Chen, L.2
  • 11
    • 34548158996 scopus 로고    scopus 로고
    • Convex incremental extreme learning machine
    • Mar
    • G. B. Huang and L. Chen, "Convex incremental extreme learning machine," Neurocomputing, vol. 70, pp. 3056-3062, Mar. 2007.
    • (2007) Neurocomputing , vol.70 , pp. 3056-3062
    • Huang, G.B.1    Chen, L.2
  • 12
    • 68949200808 scopus 로고    scopus 로고
    • Error minimized extreme learning machine with growth of hidden nodes and incremental learning
    • Aug
    • G. Feng, G. B. Huang, Q. Lin, and R. Gay, "Error minimized extreme learning machine with growth of hidden nodes and incremental learning," IEEE Trans. Neural Netw., vol. 20, no. 8, pp. 1352-1357, Aug. 2009.
    • (2009) IEEE Trans. Neural Netw , vol.20 , Issue.8 , pp. 1352-1357
    • Feng, G.1    Huang, G.B.2    Lin, Q.3    Gay, R.4
  • 13
    • 85008039450 scopus 로고    scopus 로고
    • Online sequential fuzzy extreme learning machine for function approximation and classification problems
    • Aug
    • H. J. Rong, G. B. Huang, N. Sundararajan, and P. Saratchandran, "Online sequential fuzzy extreme learning machine for function approximation and classification problems," IEEE Trans. Syst., Man, Cybern., Part B, Cybern., vol. 39, no. 4, pp. 1067-1072, Aug. 2009.
    • (2009) IEEE Trans. Syst., Man, Cybern., Part B, Cybern , vol.39 , Issue.4 , pp. 1067-1072
    • Rong, H.J.1    Huang, G.B.2    Sundararajan, N.3    Saratchandran, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.