메뉴 건너뛰기




Volumn 6752 LNAI, Issue , 2011, Pages 253-262

Extreme learning machine with adaptive growth of hidden nodes and incremental updating of output weights

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE GROWTH; EXTREME LEARNING MACHINE; FEED-FORWARD NETWORK; GENERALIZATION PERFORMANCE; HIDDEN NODES; INCREMENTAL UPDATING; SIMULATION RESULT; ERROR MINIMIZATION; HIDDEN LAYERS; NEW APPROACHES;

EID: 79960094031     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21538-4_25     Document Type: Conference Paper
Times cited : (12)

References (21)
  • 1
    • 0027599793 scopus 로고
    • Universal approximation bounds for superpositions of a sigmoidal functions
    • Barron, A.R.: Universal approximation bounds for superpositions of a sigmoidal functions. IEEE Transactions on Information Theory 39, 930-945 (1993)
    • (1993) IEEE Transactions on Information Theory , vol.39 , pp. 930-945
    • Barron, A.R.1
  • 3
    • 33745834241 scopus 로고    scopus 로고
    • Department of Information and Computer Sciences, Irvine, USA
    • Black, C.L., Merz, C.J.: UCI repository of machine learning databases, department of information and computer sciences, University of California, Irvine, USA (1998), http://www.ics.uci.edu/~mlearn/mlrepository.html
    • (1998) UCI Repository of Machine Learning Databases
    • Black, C.L.1    Merz, C.J.2
  • 4
    • 68949200808 scopus 로고    scopus 로고
    • Error minimized extreme learning machine with growth of hidden nodes and incremental learning
    • Feng, G., Huang, G.-B., Lin, Q., Gay, R.: Error minimized extreme learning machine with growth of hidden nodes and incremental learning. IEEE Transactions on Neural Networks 20(8), 1352-1357 (2009)
    • (2009) IEEE Transactions on Neural Networks , vol.20 , Issue.8 , pp. 1352-1357
    • Feng, G.1    Huang, G.-B.2    Lin, Q.3    Gay, R.4
  • 7
    • 34548158996 scopus 로고    scopus 로고
    • Convex incremental extreme learning machine
    • Huang, G.-B., Chen, L.: Convex incremental extreme learning machine. Neural Computing 70, 3056-3062 (2007)
    • (2007) Neural Computing , vol.70 , pp. 3056-3062
    • Huang, G.-B.1    Chen, L.2
  • 8
    • 33745918399 scopus 로고    scopus 로고
    • Universal approximation using incremental constructive feedforward networks with random hidden nodes
    • Huang, G.-B., Chen, L., Siew, C.-K.: Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Transactions on Neural Networks 17(4) (2006)
    • (2006) IEEE Transactions on Neural Networks , vol.17 , pp. 4
    • 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
    • Huang, G.-B., Chen, L.: Enhanced random search based incremental extreme learning machine. Neural Computing 71, 3460-3468 (2008)
    • (2008) Neural Computing , vol.71 , pp. 3460-3468
    • Huang, G.-B.1    Chen, L.2
  • 12
    • 33645588429 scopus 로고    scopus 로고
    • Extreme learning machine with randomly assigned RBF kernels
    • Huang, G.-B., Siew, C.-K.: Extreme learning machine with randomly assigned RBF kernels. International Journal of Technology 11(1) (2005)
    • (2005) International Journal of Technology , vol.11 , Issue.1
    • Huang, G.-B.1    Siew, C.-K.2
  • 14
    • 33745903481 scopus 로고    scopus 로고
    • Extreme learning machine: Theory and applications
    • Huang, G.-B., Zhu, Q.-Y., Siew, C.-K.: Extreme learning machine: theory and applications. Neural Computing 70, 489-501 (2006)
    • (2006) Neural Computing , vol.70 , pp. 489-501
    • Huang, G.-B.1    Zhu, Q.-Y.2    Siew, C.-K.3
  • 17
    • 77954299719 scopus 로고    scopus 로고
    • Ensemble of online sequential extreme learning machine
    • Lan, Y., Soh, Y.C., Huang, G.-B.: Ensemble of online sequential extreme learning machine. Neural Computing 72, 3391-3395 (2009)
    • (2009) Neural Computing , vol.72 , pp. 3391-3395
    • Lan, Y.1    Soh, Y.C.2    Huang, G.-B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.