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Volumn 2, Issue , 2009, Pages 496-499

Extreme learning machine for bank clients classification

Author keywords

Business intelligence; Classification; Data mining; ELM

Indexed keywords

BUSINESS INTELLIGENCE; CLASSIFICATION ALGORITHM; COMMERCIAL BANK; COMPARATIVE ANALYSIS; CUSTOMER CLASSIFICATION; DATA SETS; EXTREME LEARNING MACHINE; GRADIENT ALGORITHM; LEARNING RATES;

EID: 77649327811     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIII.2009.277     Document Type: Conference Paper
Times cited : (6)

References (9)
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  • 2
    • 0000621802 scopus 로고
    • Multivariable functional interpolation and adaptive networks
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    • Broomhead, D.S.1    Lowe, D.2
  • 4
    • 77649324224 scopus 로고    scopus 로고
    • Singh R (Singh,Rampal),Balasundaram S (Balasundaram, S.), Application of Extreme Learning Machine Method for Time Series Analysis, Proceedings of World Academy of Science Engineering and Technology ,26 ,(2007) 361-367.
    • Singh R (Singh,Rampal),Balasundaram S (Balasundaram, S.), Application of Extreme Learning Machine Method for Time Series Analysis, Proceedings of World Academy of Science Engineering and Technology ,26 ,(2007) 361-367.
  • 5
    • 49249135950 scopus 로고    scopus 로고
    • Power utility nontechnical loss analysis with extreme learning machine method
    • Nizar AH, Dong ZY, Wang Y,Power utility nontechnical loss analysis with extreme learning machine method, IEEE Transactions on power systems,23/3(2008) 946-955.
    • (2008) IEEE Transactions on power systems , vol.23 , Issue.3 , pp. 946-955
    • Nizar, A.H.1    Dong, Z.Y.2    Wang, Y.3
  • 6
    • 0032028728 scopus 로고    scopus 로고
    • The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network
    • P.L. Bartlett, The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network, IEEE Trans. Inform. Theory 44 (2) (1998) 525-536.
    • (1998) IEEE Trans. Inform. Theory , vol.44 , Issue.2 , pp. 525-536
    • Bartlett, P.L.1
  • 7
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    • Algorithm for classifying arrhythmia using extreme learning machine and principal component analysis
    • engineering in medicine and biology society
    • Kim JW, Shin HS, Lee YW, et al, Algorithm for classifying arrhythmia using extreme learning machine and principal component analysis, proceedings of annual international conference of the IEEE engineering in medicine and biology society,3257-3260,2007.
    • (2007) proceedings of annual international conference of the IEEE , pp. 3257-3260
    • Kim, J.W.1    Shin, H.S.2    Lee, Y.W.3
  • 9
    • 55949132682 scopus 로고    scopus 로고
    • Hai-Jun Rong, Yew-Soon Ong, Ah-Hwee Tan, Zexuan Zhu. A fast pruned-extreme learning machine for classification problem. Neurocomputing, 72, Issues 1-3, December 2008, Pages 359-366
    • Hai-Jun Rong, Yew-Soon Ong, Ah-Hwee Tan, Zexuan Zhu. A fast pruned-extreme learning machine for classification problem. Neurocomputing, Volume 72, Issues 1-3, December 2008, Pages 359-366


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.