메뉴 건너뛰기




Volumn , Issue , 1997, Pages 88-93

On fault injection approaches for fault tolerance of feedforward neural networks

Author keywords

[No Author keywords available]

Indexed keywords

FAULT INJECTION;

EID: 0031355494     PISSN: 10817735     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (10)
  • 1
    • 0025680546 scopus 로고
    • Limits to the fault-tolerance of a feedforward neural network with learning
    • Jos Nijhuis, B.Höfflinger, Andre van Schaik and L.Spaanenburg, "Limits to the Fault-Tolerance of a Feedforward Neural Network with Learning", Proc. FTCS, pp.228-235, 1990.
    • (1990) Proc. FTCS , pp. 228-235
    • Nijhuis, J.1    Höfflinger, B.2    Van Schaik, A.3    Spaanenburg, L.4
  • 2
    • 0011213245 scopus 로고
    • Fault tolerance training improves generalization and robustness
    • R.D.Clay and C.H.Séquin, "Fault Tolerance Training Improves Generalization and Robustness", Int'l. Joint Conf. on Neural Networks, pp.1-769-774, 1992.
    • (1992) Int'l. Joint Conf. on Neural Networks , pp. 769-774
    • Clay, R.D.1    Séquin, C.H.2
  • 3
    • 84895151565 scopus 로고
    • Property of fault-tolerant multilayer neural networks
    • Y. Tan and T. Nanya, "Property of Fault-Tolerant Multilayer Neural Networks" , Techincal Report of IEICE in Japanese, NC92-11, 1992.
    • (1992) Techincal Report of IEICE in Japanese , vol.NC92-11
    • Tan, Y.1    Nanya, T.2
  • 5
    • 84895151565 scopus 로고
    • A learning rule for fault-tolerant multilayer neural networks
    • Y. Tan and T. Nanya, "A Learning Rule for Fault-Tolerant Multilayer Neural Networks", Techincal Report of IEICE in Japanese, FTS92 - 2 ( 1992 )
    • (1992) Techincal Report of IEICE in Japanese , vol.FTS92-2
    • Tan, Y.1    Nanya, T.2
  • 6
    • 0001410553 scopus 로고
    • A fault-tolerant multi-layer neural network model and its properties
    • July
    • Y. Tan and T. Nanya, "A Fault-Tolerant Multi-Layer Neural Network Model and Its Properties", IEICE Ronbunshi D-I, Vol.J76-D-I, No.7, pp.380-389, July 1993
    • (1993) IEICE Ronbunshi D-I , vol.J76-D-I , Issue.7 , pp. 380-389
    • Tan, Y.1    Nanya, T.2
  • 7
    • 0027629615 scopus 로고
    • Synaptic weight noise during multilayer perceptron training: Fault tolerance and training improvement
    • July
    • A.F.Murray and P.J .Edwards, "Synaptic Weight Noise During Multilayer Perceptron Training: Fault Tolerance and Training Improvement", IEEE Trans. on Neural Networks, vo1.4, No.4, pp.722-725, July 1993.
    • (1993) IEEE Trans. on Neural Networks , vol.4 , Issue.4 , pp. 722-725
    • Murray, A.F.1    Edwards, P.J.2
  • 8
    • 0027668417 scopus 로고
    • Determining and improving the fault tolerance of multilayer perceptrons in a pattern-recognition application
    • Sept.
    • M.D.Emmerson and R.I.Damper, "Determining and Improving the Fault Tolerance of Multilayer Perceptrons in a Pattern-Recognition Application", IEEE Trans. on Neural Networks, vo1.4, No.5, pp.788-793, Sept. 1993.
    • (1993) IEEE Trans. on Neural Networks , vol.4 , Issue.5 , pp. 788-793
    • Emmerson, M.D.1    Damper, R.I.2
  • 9
    • 84895141956 scopus 로고    scopus 로고
    • Fault,-tolerant neural networks using re-learning
    • Oct.
    • Y. Tohma and K. Hongo, "Fault,-Tolerant Neural Networks Using Re-Learning" , IEICE Technical Report FTS96-46, pp.41-48, Oct. 1996.
    • (1996) IEICE Technical Report FTS96-46 , pp. 41-48
    • Tohma, Y.1    Hongo, K.2
  • 10
    • 0030649974 scopus 로고    scopus 로고
    • A learning algorithm for fault tolerant feedforward neural networks
    • Jan.
    • Nait C. Hammadi and H. Ito, "A Learning Algorithm for Fault Tolerant Feedforward Neural Networks", IEICE Trans. INF & SYST., Vol.E80-D, No.1, Jan. 1997.
    • (1997) IEICE Trans. INF & SYST. , vol.E80-D , Issue.1
    • Hammadi, N.C.1    Ito, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.