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Volumn , Issue , 1992, Pages 120-127

An equivalence between sigmoidal gain scaling and training with noisy (jittered) input data

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS;

EID: 84942839657     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RNNS.1992.268603     Document Type: Conference Paper
Times cited : (6)

References (9)
  • 3
    • 0001334793 scopus 로고
    • Kernel regression and backpropagation training with noise
    • J. E. Moody, S. J. Hanson, R, P. Lippmann, editors
    • P. Koistinen and L. Holmstrom. Kernel regression and backpropagation training with noise. In J. E. Moody, S. J. Hanson, R, P. Lippmann, editors, Advances in Neural Information Processing (4), pages 1035-1039, 1992.
    • (1992) Advances in Neural Information Processing , vol.4 , pp. 1035-1039
    • Koistinen, P.1    Holmstrom, L.2
  • 4
    • 0003383280 scopus 로고
    • Creating local and distributed bottlenecks in hidden layers of back-propagation networks
    • D. Touretzky, G. Hinton, T. Sejnowski, editors Morgan Kaufmann Publishers
    • J. K. Kruschke. Creating local and distributed bottlenecks in hidden layers of back-propagation networks. In D. Touretzky, G. Hinton, T. Sejnowski, editors, Proceedings of the 1988 Connectionist Models Summer School, pages 120-126, Morgan Kaufmann Publishers, 1988.
    • (1988) Proceedings of the 1988 Connectionist Models Summer School , pp. 120-126
    • Kruschke, J.K.1
  • 6
    • 85132037631 scopus 로고
    • Fault tolerance of the backpropagation neural network trained on noisy inputs
    • Baltimore
    • I. Minnix. Fault tolerance of the backpropagation neural network trained on noisy inputs. In Proceedings of the International Joint Conference on Neural Networks, pages 847-852, 1992. vol. I, (Baltimore).
    • (1992) Proceedings of the International Joint Conference on Neural Networks , vol.1 , pp. 847-852
    • Minnix, J.I.1
  • 8
    • 0026017007 scopus 로고
    • Creating artificial neural networks that generalize
    • J. Sietsma and R. J. F. Dow. Creating artificial neural networks that generalize. Neural Networks 4(l):67-69, 1991.
    • (1991) Neural Networks , vol.4 , Issue.1 , pp. 67-69
    • Sietsma, J.1    Dow, R.J.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.