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Volumn , Issue , 2001, Pages 797-802

Genetic algorithm based selective neural network ensemble

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; ENSEMBLE APPROACHES; GENERALIZATION ABILITY; INDIVIDUAL NETWORK; LEARNING PARADIGMS; NEURAL NETWORK ENSEMBLES; SELECTIVE ENSEMBLES;

EID: 84880868490     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (125)

References (20)
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    • Breiman, L.1    Friedman, J.2
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    • Multivariate adaptive regression splines
    • with discussion
    • J. Friedman. Multivariate adaptive regression splines (with discussion). Annals of Statistics, 19(1): 1-141, 1991.
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    • Friedman, J.1
  • 10
    • 0003637791 scopus 로고
    • A genetic algorithm for function optimization: A Matlab implementation
    • North Carolina State University
    • C. R. Houck, J. A. Joines, and M. G. Kay. A genetic algorithm for function optimization: a Matlab implementation, NCSU-IE Technical Report 95-09, North Carolina State University, 1995.
    • (1995) NCSU-IE Technical Report 95-09
    • Houck, C.R.1    Joines, J.A.2    Kay, M.G.3
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    • Ensemble learning via negative correlation
    • Y. Liu and X. Yao. Ensemble learning via negative correlation. Neural Networks, 12(10): 1399-1404, 1999.
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    • Liu, Y.1    Yao, X.2
  • 14
    • 0031636151 scopus 로고    scopus 로고
    • A case study on bagging, boosting and basic ensembles of neural networks for OCR
    • IEEE Computer Society
    • J. Mao. A case study on bagging, boosting and basic ensembles of neural networks for OCR. In Proceedings of the IEEE International Joint Conference on Neural Networks, vol.3, pages 1828-1833, 1998. IEEE Computer Society.
    • (1998) Proceedings of the IEEE International Joint Conference on Neural Networks , vol.3 , pp. 1828-1833
    • Mao, J.1
  • 16
    • 0022471098 scopus 로고
    • Learning representations by backpropagating errors
    • D. Rumelhart, G. Hinton, and R. Williams. Learning representations by backpropagating errors. Nature, 323(9): 318-362, 1986.
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    • Rumelhart, D.1    Hinton, G.2    Williams, R.3
  • 18
    • 0032073506 scopus 로고    scopus 로고
    • Classification of seismic signals by integrating ensembles of neural networks
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    • Y. Shimshoni and N. Intrator. Classification of seismic signals by integrating ensembles of neural networks. IEEE Trans. Signal Processing, 46(5): 1194-1201, 1998. (Pubitemid 128743858)
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    • Making use of population information in evolutionary artificial neural networks
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    • X. Yao and Y. Liu. Making use of population information in evolutionary artificial neural networks. IEEE Trans. Systems, Man and Cybernetics - Part B: Cybernetics, 28(3): 417-425, 1998. (Pubitemid 128752593)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.