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Volumn 38, Issue 12, 2004, Pages 1596-1600

PSO-based approach for neural network ensembles

Author keywords

Ensemble; Neural network; Particle swarm optimization (PSO)

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; INTEGRATION; LEARNING ALGORITHMS; REGRESSION ANALYSIS;

EID: 13644280924     PISSN: 1008973X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (25)

References (11)
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    • The strength of weak learn ability
    • SCHAPIRE R E. The strength of weak learn ability[J]. Machine Learning, 1990, 5(2): 197-227.
    • (1990) Machine Learning , vol.5 , Issue.2 , pp. 197-227
    • Schapire, R.E.1
  • 3
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • BREIMAN L. Bagging predictors [J]. Machine Learning, 1996, 24(2): 123-140.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 5
    • 13644283055 scopus 로고
    • When networks disagree: Ensemble method for neural networks
    • San Diego, CA: Academic Press
    • PERRON M P, COOPER L N. When networks disagree: Ensemble method for neural networks[A]. Artificial Neural Networks: Theory and Applications [C]. San Diego, CA: Academic Press, 1991: 81-96.
    • (1991) Artificial Neural Networks: Theory and Applications , pp. 81-96
    • Perron, M.P.1    Cooper, L.N.2
  • 6
    • 0030356238 scopus 로고    scopus 로고
    • Actively searching for an effective neural network ensemble
    • OPTIZ D, SHAVILIK J. Actively searching for an effective neural network ensemble[J]. Connection Science, 1996, 8(3-4): 337-353.
    • (1996) Connection Science , vol.8 , Issue.3-4 , pp. 337-353
    • Optiz, D.1    Shavilik, J.2
  • 7
    • 85127438349 scopus 로고    scopus 로고
    • Learning with ensembles: How over-fitting can be useful
    • Cambridge, MA: MIT
    • SOLLICH P, KROGH A. Learning with ensembles: How over-fitting can be useful[A]. Advances in Neural Information Processing Systems [C]. Cambridge, MA: MIT, 1996, 8: 190-196.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 190-196
    • Sollich, P.1    Krogh, A.2
  • 8
    • 85054435084 scopus 로고
    • Neural network ensembles, cross validation and active learning
    • Cambridge, MA: MIT
    • KROGH A, VEDELSDY J. Neural network ensembles, cross validation and active learning [A]. Advances in Neural Information Processing Systems [C]. Cambridge, MA: MIT, 1995, 7: 231-238.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 231-238
    • Krogh, A.1    Vedelsdy, J.2
  • 11
    • 0006261165 scopus 로고    scopus 로고
    • Combining predictors: Meta machine learning methods and bias/variance and ambiguity decomposition
    • Nordre Ringgada: University of Aarhus, Denmark
    • HANSEN J V. Combining predictors: Meta machine learning methods and bias/variance and ambiguity decomposition [D]. Nordre Ringgada: University of Aarhus, Denmark, 2000.
    • (2000)
    • Hansen, J.V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.