메뉴 건너뛰기




Volumn 9, Issue 2, 1996, Pages 263-271

Network generalization differences quantified

Author keywords

generalization diversity; network initialization; neural net systems

Indexed keywords

COMPUTATION THEORY; LEARNING SYSTEMS; PERFORMANCE; RANDOM PROCESSES; RELIABILITY; STATISTICAL METHODS;

EID: 0030111129     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/0893-6080(95)00110-7     Document Type: Article
Times cited : (48)

References (10)
  • 2
    • 0003000735 scopus 로고
    • Faster-learning variations on backpropagation: An empirical study
    • D. Touretzky, G. E. Hinton & T. J. Sejnowski (Eds.), San Mateo, CA: Morgan Kaufmann
    • Fahlman, S. E. (1988). Faster-learning variations on backpropagation: An empirical study. In D. Touretzky, G. E. Hinton & T. J. Sejnowski (Eds.), Proceedings of the 1988 Connectionist Models Summer School. San Mateo, CA: Morgan Kaufmann.
    • (1988) Proceedings of the 1988 Connectionist Models Summer School
    • Fahlman, S.E.1
  • 3
    • 0001698980 scopus 로고
    • Back propagation is sensitive to initial conditions
    • Kolen, J. F. & Pollack, J. B. (1990). Back propagation is sensitive to initial conditions. Journal of Complex Systems, 4(3), 269-280.
    • (1990) Journal of Complex Systems , vol.4 , Issue.3 , pp. 269-280
    • Kolen, J.F.1    Pollack, J.B.2
  • 4
    • 85030188276 scopus 로고
    • Practical statistics for multiversion neural net systems
    • Technical Report 324, Department of Computer Science, University of Exeter. Submitted to
    • Krzanowski, W. J. & Partridge, D. (1995). Practical statistics for multiversion neural net systems. Technical Report 324, Department of Computer Science, University of Exeter. Submitted to MANNA conference 1995.
    • (1995) MANNA Conference 1995
    • Krzanowski, W.J.1    Partridge, D.2
  • 5
    • 0000494468 scopus 로고
    • Synergy of clustering multiple back propagation networks
    • D. S. Touretzky, (Ed.), San Mateo, CA: Morgan Kaufmann
    • Lincoln, W. P. & Skrzypek, J. (1990). Synergy of clustering multiple back propagation networks. In D. S. Touretzky, (Ed.), Advances in neural information processing systems 2 (pp. 650-657). San Mateo, CA: Morgan Kaufmann.
    • (1990) Advances in Neural Information Processing Systems 2 , pp. 650-657
    • Lincoln, W.P.1    Skrzypek, J.2
  • 6
    • 0024884032 scopus 로고
    • Conceptual modeling of coincident failures in multiversion software
    • December
    • Littlewood, B. & Miller, D. R. (1989). Conceptual modeling of coincident failures in multiversion software. IEEE Transactions on Software Engineering, 15(12), December.
    • (1989) IEEE Transactions on Software Engineering , vol.15 , Issue.12
    • Littlewood, B.1    Miller, D.R.2
  • 7
    • 0343405675 scopus 로고
    • Use of neural computing in multiversion software reliability
    • F. Redmill & T. Anderson (Eds.), London: Springer-Verlag
    • Partridge, D. & Sharkey, N. E. (1994). Use of neural computing in multiversion software reliability. In F. Redmill & T. Anderson (Eds.), Technology and assessment of safety-critical systems (pp. 224-235). London: Springer-Verlag.
    • (1994) Technology and Assessment of Safety-critical Systems , pp. 224-235
    • Partridge, D.1    Sharkey, N.E.2
  • 8
    • 0342536212 scopus 로고
    • Engineering multiversion neural-net systems
    • in press
    • Partridge, D. & Yates, W. B. (1995). Engineering multiversion neural-net systems. Neural Computation (in press).
    • (1995) Neural Computation
    • Partridge, D.1    Yates, W.B.2
  • 9
    • 0001312689 scopus 로고
    • Chaitin-kolmogorov complexity and generalization in neural networks
    • D. S. Touretzky (Ed.), San Mateo, CA: Morgan Kaufmann
    • Pearlmutter, B. A. & Rosenfeld, R. (1991). Chaitin-Kolmogorov complexity and generalization in neural networks. In D. S. Touretzky (Ed.), Advances in neural information processing systems 3 (pp. 925-931). San Mateo, CA: Morgan Kaufmann.
    • (1991) Advances in Neural Information Processing Systems 3 , pp. 925-931
    • Pearlmutter, B.A.1    Rosenfeld, R.2
  • 10
    • 0343841534 scopus 로고
    • Use of methodological diversity to improve neural network generalization
    • in press
    • Yates, W. B. & Partridge, D. (1995). Use of methodological diversity to improve neural network generalization. Neural Computing and Applications (in press).
    • (1995) Neural Computing and Applications
    • Yates, W.B.1    Partridge, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.