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Volumn 12, Issue 2, 2000, Pages 107-113

Obtaining fault tolerant multilayer perceptrons using an explicit regularization

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; ERROR ANALYSIS; FAULT TOLERANT COMPUTER SYSTEMS; LEARNING ALGORITHMS; PERTURBATION TECHNIQUES;

EID: 0034293872     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1009698206772     Document Type: Article
Times cited : (39)

References (9)
  • 1
    • 0028532748 scopus 로고
    • Comparative fault tolerance of parallel distributed processing networks
    • Segee, B. E. and Carter, M. J.: Comparative fault tolerance of parallel distributed processing networks. IEEE Trans, on Computers 43(11) (1994), 1323-1329.
    • (1994) IEEE Trans, on Computers , vol.43 , Issue.11 , pp. 1323-1329
    • Segee, B.E.1    Carter, M.J.2
  • 2
    • 0029269583 scopus 로고
    • Complete and partial fault tolerance of feedforward neural nets
    • Pathak, D. S. and Koren, I.: Complete and partial fault tolerance of feedforward neural nets. IEEE Trans. on Neural Networks 6(2) (1995), 446-456.
    • (1995) IEEE Trans. on Neural Networks , vol.6 , Issue.2 , pp. 446-456
    • Pathak, D.S.1    Koren, I.2
  • 3
    • 0032523512 scopus 로고    scopus 로고
    • Towards optimally distributed computation
    • Edwards, P. J. and Murray, A. F.: Towards optimally distributed computation. Neural Computation 10 (1998), 997-1015.
    • (1998) Neural Computation , vol.10 , pp. 997-1015
    • Edwards, P.J.1    Murray, A.F.2
  • 4
  • 5
    • 0038906922 scopus 로고
    • Regularization techniques in artificial neural networks
    • Mao, J. and Jain, A. K.: Regularization techniques in artificial neural networks. World Congress on Neural Networks, 1993, pp. 75-79.
    • (1993) World Congress on Neural Networks , pp. 75-79
    • Mao, J.1    Jain, A.K.2
  • 7
    • 0026625982 scopus 로고
    • Sensitivity analysis of multilayer perceptron with differentiable activation functions
    • Choi, J. Y. and Choi, C.: Sensitivity analysis of multilayer perceptron with differentiable activation functions. IEEE Trans, on Neural Networks 3(1) (1992), 101-107.
    • (1992) IEEE Trans, on Neural Networks , vol.3 , Issue.1 , pp. 101-107
    • Choi, J.Y.1    Choi, C.2
  • 8
    • 0029440452 scopus 로고
    • Can deterministic penalty terms model the effects of synaptic weight noise on network fault-tolerance?
    • Edwards, P. J. and Murray, A. F.: Can deterministic penalty terms model the effects of synaptic weight noise on network fault-tolerance? Int. J. Neural Systems 6(4) (1995), 401-416.
    • (1995) Int. J. Neural Systems , vol.6 , Issue.4 , pp. 401-416
    • Edwards, P.J.1    Murray, A.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.