메뉴 건너뛰기




Volumn 2, Issue , 1997, Pages 1140-1145

Avoiding overfitting with BP-SOM

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION LEARNING; FEED-FORWARD NETWORK; GENERALISATION; HYBRID NEURAL NETWORKS; KOHONEN; MULTI-LAYERED; OVERFITTING; WEIGHT DECAY;

EID: 49249094378     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (18)
  • 1
    • 0000494466 scopus 로고
    • Optimal brain damage
    • D. S. Touretzky, editor, Morgan Kaufmann, San Mateo, CA
    • Y. Le Cun, J. Denker, and S. Solla. Optimal brain damage. In D. S. Touretzky, editor, Advances in Neural Information Processing Systems, volume 2, pages 598-605. Morgan Kaufmann, San Mateo, CA, 1990.
    • (1990) Advances in Neural Information Processing Systems , vol.2 , pp. 598-605
    • Le Cun, Y.1    Denker, J.2    Solla, S.3
  • 2
    • 0003420910 scopus 로고
    • Technical Report CMU-CS-90-100, School of Computer Science, Carnegie-Mellon University, Pittsburgh, PA
    • S. E. Fahlman and C. Lebiere. The cascade-correlation learning architecture. Technical Report CMU-CS-90-100, School of Computer Science, Carnegie-Mellon University, Pittsburgh, PA, 1990.
    • (1990) The Cascade-correlation Learning Architecture
    • Fahlman, S.E.1    Lebiere, C.2
  • 5
    • 0004120589 scopus 로고    scopus 로고
    • Technical Report A.I. Memo No. 1562, Artificial Intelligence Laboratory, Massachusetts Institute of Technology
    • M. I. Jordan and C. M. Bishop. Neural networks. Technical Report A.I. Memo No. 1562, Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 1996.
    • (1996) Neural Networks
    • Jordan, M.I.1    Bishop, C.M.2
  • 6
    • 0003527079 scopus 로고
    • Self-organisation and Associative Memory
    • Springer-Verlag, Berlin
    • T. Kohonen. Self-organisation and Associative Memory, volume 8 of Series in Information Sciences. Springer-Verlag, Berlin, 1984.
    • (1984) Series in Information Sciences , vol.8
    • Kohonen, T.1
  • 7
    • 84892167083 scopus 로고
    • Using relevance to reduce network size automatically
    • M. C. Mozer and P. Smolensky. Using relevance to reduce network size automatically. Connection Science, 1:3-16, 1989.
    • (1989) Connection Science , vol.1 , pp. 3-16
    • Mozer, M.C.1    Smolensky, P.2
  • 8
    • 0025437399 scopus 로고
    • How to build a connectionist idiot (savant)
    • D. Norris. How to build a connectionist idiot (savant). Cognition, 35:277-291, 1989.
    • (1989) Cognition , vol.35 , pp. 277-291
    • Norris, D.1
  • 11
    • 0001098776 scopus 로고
    • A universal prior for integers and estimation by minimum description length
    • J. Rissanen. A universal prior for integers and estimation by minimum description length. Annals of Statistics, 11:416-431, 1983.
    • (1983) Annals of Statistics , vol.11 , pp. 416-431
    • Rissanen, J.1
  • 12
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • D. E. Rumelhart and J. L. McClelland, editors, Foundations, The MIT Press, Cambridge, MA
    • D. E. Rumelhart, G. E. Hinton, and R. J. Williams. Learning internal representations by error propagation. In D. E. Rumelhart and J. L. McClelland, editors, Parallel Distributed Processing: Explorations in the Micro structure of Cognition, volume 1: Foundations, pages 318-362. The MIT Press, Cambridge, MA, 1986.
    • (1986) Parallel Distributed Processing: Explorations in the Micro Structure of Cognition , vol.1 , pp. 318-362
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 13
    • 0001259758 scopus 로고
    • Overfltting avoidance as bias
    • C. Shaffer. Overfltting avoidance as bias. Machine Learning, 10:153-178, 1993.
    • (1993) Machine Learning , vol.10 , pp. 153-178
    • Shaffer, C.1
  • 14
    • 21844482635 scopus 로고
    • Measuring the difficulty of specific learning problems
    • C. Thornton. Measuring the difficulty of specific learning problems. Connection Science, 7:81-92, 1995.
    • (1995) Connection Science , vol.7 , pp. 81-92
    • Thornton, C.1
  • 15
    • 0000539096 scopus 로고
    • Generalization by weight-elimination with application to forecasting
    • R. P. Lippman, J. E. Moody, and D. S. Touretzky, editors, Morgan Kaufmann, San Mateo, CA
    • A. S. Weigend, D. E. Rumelhart, and B. A. Huberman. Generalization by weight-elimination with application to forecasting. In R. P. Lippman, J. E. Moody, and D. S. Touretzky, editors, Advances in Neural Information Processing Systems, volume 3, pages 875-882. Morgan Kaufmann, San Mateo, CA, 1990.
    • (1990) Advances in Neural Information Processing Systems , vol.3 , pp. 875-882
    • Weigend, A.S.1    Rumelhart, D.E.2    Huberman, B.A.3
  • 16
    • 0001886404 scopus 로고
    • On overfltting and the effective number of hidden units
    • M. C. Mozer, P. Smolensky, D. S. Touretzky, J. L. Elman, and A. S. Weigend, editors
    • A. S. Weigend. On overfltting and the effective number of hidden units. In M. C. Mozer, P. Smolensky, D. S. Touretzky, J. L. Elman, and A. S. Weigend, editors, Proceedings of the 1998 Connectionist Models Summer School, pages 335-342, 1994.
    • (1994) Proceedings of the 1998 Connectionist Models Summer School , pp. 335-342
    • Weigend, A.S.1
  • 17
    • 0346378507 scopus 로고
    • The BP-SOM architecture and learning rule
    • A. Weijters. The BP-SOM architecture and learning rule. Neural Processing Letters, 2:13-16, 1995.
    • (1995) Neural Processing Letters , vol.2 , pp. 13-16
    • Weijters, A.1
  • 18
    • 0342541576 scopus 로고
    • Technical Report SFI TR 92-03-5001, The Santa Fe Institute
    • D. H. Wolpert. On overfltting avoidance as bias. Technical Report SFI TR 92-03-5001, The Santa Fe Institute, 1992.
    • (1992) On Overfltting Avoidance As Bias
    • Wolpert, D.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.