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Volumn 4, Issue , 2004, Pages 2853-2858

A training-time analysis of robustness in feed-forward neural networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NEURAL NETWORKS; GAUSSIAN DISTRIBUTION; NETWORK ACCURACY; POLY-TIME COMPLEXITY;

EID: 10944262663     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2004.1381110     Document Type: Conference Paper
Times cited : (4)

References (12)
  • 3
    • 0036647381 scopus 로고    scopus 로고
    • Randomized algorithms: A system-level, poly-time analysis of robust computation
    • C. Alippi, "Randomized Algorithms: A System-Level, Poly-Time analysis of robust computation", IEEE Transactions on Computers, Vol. 51, No. 7, 2002.
    • (2002) IEEE Transactions on Computers , vol.51 , Issue.7
    • Alippi, C.1
  • 5
    • 1842354262 scopus 로고
    • Enhanced learning for evolutive neural architecture
    • from Esprit Research Project Number 6891
    • F.Blayo, Y. Cheneval, et.al."Enhanced Learning for Evolutive Neural Architecture", in Deliverable R3-B4-P TaskB4: Benchmarks, from Esprit Research Project Number 6891, 1995
    • (1995) Deliverable R3-B4-P TaskB4: Benchmarks
    • Blayo, F.1    Cheneval, Y.2
  • 6
    • 0000182415 scopus 로고    scopus 로고
    • A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations
    • H. Chernoff, "A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations", Ann. Math. Stat. 23, 1952.
    • Ann. Math. Stat. , vol.23 , pp. 1952
    • Chernoff, H.1
  • 7
    • 0029410181 scopus 로고
    • The effects of quantization on multilayer neural networks
    • C. Dundar, K. Rose, "The Effects of Quantization on Multilayer Neural Networks", IEEE Transactions on Neural Networks, Vol. 6, Pagg.1446-1451, 1995.
    • (1995) IEEE Transactions on Neural Networks , vol.6 , pp. 1446-1451
    • Dundar, C.1    Rose, K.2
  • 8
    • 0030399710 scopus 로고    scopus 로고
    • Embedded systems design issues (The rest of the story)
    • P.Koopman, Embedded systems Design Issues (the Rest of the Story), Proceedings of the IEEE-ICCD, 1996
    • (1996) Proceedings of the IEEE-ICCD
    • Koopman, P.1
  • 9
    • 0027557033 scopus 로고
    • Finite precision error analysis of neural network hardware implementations
    • J. Holt, J. Hwang, "Finite Precision Error Analysis of Neural Network Hardware Implementations", IEEE Transactions on Computers, Vol. 42, Pagg. 281-290, 1993.
    • (1993) IEEE Transactions on Computers , vol.42 , pp. 281-290
    • Holt, J.1    Hwang, J.2
  • 10
    • 0024880831 scopus 로고    scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchombe, and H. White, "Multilayer feedforward networks are universal approximators," in Neural Networks, vol. 2, 1989.
    • Neural Networks , vol.2 , pp. 1989
    • Hornik, K.1    Stinchombe, M.2    White, H.3
  • 12
    • 0001468242 scopus 로고    scopus 로고
    • An overview of computational learning theory and its applications to neural network training
    • M. Vidyasagar, "An Overview of Computational Learning Theory and its Applications to Neural Network Training", Identification, Adaption, Learning, NATO ASI Series F, Vol. 153, Pagg. 400-422, 1996.
    • (1996) Identification, Adaption, Learning, NATO ASI Series F , vol.153 , pp. 400-422
    • Vidyasagar, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.