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Volumn , Issue , 1997, Pages 302-308

Microscopic equations in rough energy landscape for neural networks

Author keywords

[No Author keywords available]

Indexed keywords

CONVENTIONAL ALGORITHMS; EXPONENTIAL DISTRIBUTIONS; LEARNING PROBLEM; LEARNING PROCESS; MACROSCOPIC PROPERTIES; MICROSCOPIC EQUATIONS; REPLICA SYMMETRY BREAKINGS; ROUGH ENERGY LANDSCAPES;

EID: 84898956158     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (12)
  • 1
    • 0000759079 scopus 로고
    • The AdaTron: An adaptive perceptron algorithm
    • Anlauf, J.K., & Biehl, M. (1989) The AdaTron: an adaptive perceptron algorithm. Europhysics Letters 10(7):687-692.
    • (1989) Europhysics Letters , vol.10 , Issue.7 , pp. 687-692
    • Anlauf, J.K.1    Biehl, M.2
  • 2
    • 0001603515 scopus 로고
    • Gradient descent learning in perceptrons: A review of its possibilities
    • Bouten, M., Schietse, J. & Van den Broeck, C. (1995) Gradient descent learning in perceptrons: A review of its possibilities. Physical Review E 52(2):1958-1967.
    • (1995) Physical Review e , vol.52 , Issue.2 , pp. 1958-1967
    • Bouten, M.1    Schietse, J.2    Van Den Broeck, C.3
  • 4
    • 0343780501 scopus 로고
    • A Kuhn-Tucker cavity method for generalization with applications to perceptrons with Ising and Potts neurons
    • Gerl, F. & Krey, U. (1995) A Kuhn-Tucker cavity method for generalization with applications to perceptrons with Ising and Potts neurons. Journal of Physics A: Mathematical and General 28(23):6501-6516.
    • (1995) Journal of Physics A: Mathematical and General , vol.28 , Issue.23 , pp. 6501-6516
    • Gerl, F.1    Krey, U.2
  • 5
    • 0000263820 scopus 로고
    • Cavity-approach" analysis of the neural-network learning problem
    • Griniasty, M. (1993) "Cavity-approach" analysis of the neural-network learning problem. Physical Review E 47(6):4496-4513.
    • (1993) Physical Review e , vol.47 , Issue.6 , pp. 4496-4513
    • Griniasty, M.1
  • 6
    • 36149037182 scopus 로고
    • The space of interactions in neural networks: Gardners computation with the cavity method
    • Mezard, M. (1989) The space of interactions in neural networks: Gardners computation with the cavity method. Journal of Physics A: Mathematical and General 22(12):2181-2190.
    • (1989) Journal of Physics A: Mathematical and General , vol.22 , Issue.12 , pp. 2181-2190
    • Mezard, M.1
  • 10
    • 21144484106 scopus 로고
    • The statistical mechanics of learning a rule
    • Watkin, T.L.H., Rau, A. & Biehl, M. (1993) The statistical mechanics of learning a rule. Review of Modern Physics 65(2):499-556.
    • (1993) Review of Modern Physics , vol.65 , Issue.2 , pp. 499-556
    • Watkin, T.L.H.1    Rau, A.2    Biehl, M.3
  • 11
    • 84956248948 scopus 로고
    • Microscopic equations and stability conditions in optimal neural networks
    • Wong, K.Y.M. (1995a) Microscopic equations and stability conditions in optimal neural networks. Europhysics Letters 30(4):245-250.
    • (1995) Europhysics Letters , vol.30 , Issue.4 , pp. 245-250
    • Wong, K.Y.M.1
  • 12
    • 84899004892 scopus 로고
    • The cavity method: Applications to learning and retrieval in neural networks
    • J.-H. Oh, C. Kwon and S. Cho (eds.) Singapore: World Scientific
    • Wong, K.Y.M. (1995b) The cavity method: Applications to learning and retrieval in neural networks. In J.-H. Oh, C. Kwon and S. Cho (eds.), Neural Networks: The Statistical Mechanics Perspective, pp. 175-190. Singapore: World Scientific.
    • (1995) Neural Networks: The Statistical Mechanics Perspective , pp. 175-190
    • Wong, K.Y.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.