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Volumn 2829, Issue , 2003, Pages 118-129

Backpropagation through cyclic structures

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; NEURAL NETWORKS; TREES (MATHEMATICS); ALGORITHMS; ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; LEARNING SYSTEMS;

EID: 7444251494     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39853-0_10     Document Type: Conference Paper
Times cited : (4)

References (12)
  • 1
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    • A general framework for adaptive processing of data structures
    • [1] P. Frasconi, M. Gori, and A. Sperduti, “A general framework for adaptive processing of data structures,” IEEE Transactions on Neural Networks, vol. 9, pp. 768–786, September 1998.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , pp. 768-786
    • Frasconi, P.1    Gori, M.2    Sperduti, A.3
  • 5
    • 0035440305 scopus 로고    scopus 로고
    • Theoretical properties of recursive networks with linear neurons
    • [5] M. Bianchini, M. Gori, and F. Scarselli, “Theoretical properties of recursive networks with linear neurons,” IEEE Transactions on Neural Networks, vol. 12, no. 5, pp. 953–967, 2001.
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.5 , pp. 953-967
    • Bianchini, M.1    Gori, M.2    Scarselli, F.3
  • 6
    • 0031145983 scopus 로고    scopus 로고
    • Supervised neural networks for the classification of structures
    • [6] A. Sperduti and A. Starita, “Supervised neural networks for the classification of structures,” IEEE Transactions on Neural Networks, vol. 8, pp. 429–459, 1997.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , pp. 429-459
    • Sperduti, A.1    Starita, A.2
  • 7
    • 0035506029 scopus 로고    scopus 로고
    • Processing directed acyclic graphs with recursive neural networks
    • [7] M. Bianchini, M. Gori, and F. Scarselli, “Processing directed acyclic graphs with recursive neural networks,” IEEE Transactions on Neural Networks, vol. 12, no. 6, pp. 1464–1470, 2001.
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.6 , pp. 1464-1470
    • Bianchini, M.1    Gori, M.2    Scarselli, F.3
  • 8
    • 0005812055 scopus 로고    scopus 로고
    • Approximation capabilities of folding networks
    • [8] B. Hammer, “Approximation capabilities of folding networks,” in ESANN’99, (Bruges, (Belgium)), pp. 33–38, April 1999.
    • (1999) ESANN’99, (Bruges, (Belgium)) , pp. 33-38
    • Hammer, B.1
  • 9
    • 0002957641 scopus 로고    scopus 로고
    • Recursive networks: An overview of theoretical results
    • (M. Marinaro and R. Tagliaferri, eds.), Vietri (Salerno, Italy): Springer
    • [9] M. Bianchini, M. Gori, and F. Scarselli, “Recursive networks: An overview of theoretical results,” in Neural Nets — WIRN’99 (M. Marinaro and R. Tagliaferri, eds.), pp. 237–242, Vietri (Salerno, Italy): Springer, 1999.
    • (1999) Neural Nets — WIRN’99 , pp. 237-242
    • Bianchini, M.1    Gori, M.2    Scarselli, F.3
  • 10
    • 0035221306 scopus 로고    scopus 로고
    • Analysis of the internal representations developed by neural networks for structures applied to quantitative structure-activity relationship studies of benzodiazepines
    • [10] A. Bianucci, A. Micheli, A. Sperduti, and A. Starita, “Analysis of the internal representations developed by neural networks for structures applied to quantitative structure-activity relationship studies of benzodiazepines,” Journal of Chemical Information and Computer Sciences, vol. 41, no. 1, pp. 202–218, 2001.
    • (2001) Journal of Chemical Information and Computer Sciences , vol.41 , Issue.1 , pp. 202-218
    • Bianucci, A.1    Micheli, A.2    Sperduti, A.3    Starita, A.4
  • 12
    • 84958551864 scopus 로고    scopus 로고
    • Inductive learning in symbolic domains using structure–driven recurrent neural networks
    • (G. Görz and S. Hölldobler, eds.), Berlin: Springer
    • [12] A. Küchler and C. Goller, “Inductive learning in symbolic domains using structure–driven recurrent neural networks,” in Advances in Artificial Intelligence (G. Görz and S. Hölldobler, eds.), pp. 183–197, Berlin: Springer, 1996.
    • (1996) Advances in Artificial Intelligence , pp. 183-197
    • Küchler, A.1    Goller, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.