메뉴 건너뛰기




Volumn 19, Issue 12, 2007, Pages 3356-3368

Training Pi-sigma network by online gradient algorithm with penalty for small weight update

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION;

EID: 36849072477     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2007.19.12.3356     Document Type: Article
Times cited : (24)

References (12)
  • 1
    • 0000221271 scopus 로고
    • Product units: A computationally powerful and biologically plausible extension to backpropagation networks
    • Durbin, R., & Rumelhart, D. (1989). Product units: A computationally powerful and biologically plausible extension to backpropagation networks. Neural Computation, 1, 133-142.
    • (1989) Neural Computation , vol.1 , pp. 133-142
    • Durbin, R.1    Rumelhart, D.2
  • 2
    • 0023513717 scopus 로고
    • Learning invariance and generalization in higherorder neural networks
    • Giles, C. L., & Maxwell, T. (1987). Learning invariance and generalization in higherorder neural networks. Applied Optics, 26(23), 4972-4978.
    • (1987) Applied Optics , vol.26 , Issue.23 , pp. 4972-4978
    • Giles, C.L.1    Maxwell, T.2
  • 3
    • 0242351901 scopus 로고    scopus 로고
    • Recurrent pi-sigma networks for DPCM image coding
    • Hussaina, A. J., & Liatsisb, P. (2002). Recurrent pi-sigma networks for DPCM image coding. Neurocomputing, 55, 363-382.
    • (2002) Neurocomputing , vol.55 , pp. 363-382
    • Hussaina, A.J.1    Liatsisb, P.2
  • 4
    • 36849001469 scopus 로고    scopus 로고
    • Application of pi-sigma neural network to real-time classification of seafloor sediments
    • Jiang, L. J., Xu, F., & Piao, S. R. (2005). Application of pi-sigma neural network to real-time classification of seafloor sediments. Applied Acoustics, 24, 346-350.
    • (2005) Applied Acoustics , vol.24 , pp. 346-350
    • Jiang, L.J.1    Xu, F.2    Piao, S.R.3
  • 6
    • 0037312441 scopus 로고    scopus 로고
    • A sigma-pi-sigma neural network (SPSNN)
    • Li, C. K. (2003). A sigma-pi-sigma neural network (SPSNN). Neural Processing Letters, 17, 1-19.
    • (2003) Neural Processing Letters , vol.17 , pp. 1-19
    • Li, C.K.1
  • 7
    • 0026375443 scopus 로고
    • The pi-sigma network: An efficient higher-order neural network for pattern classification and function approximation
    • Shin, Y., & Ghosh, J. (1991). The pi-sigma network: An efficient higher-order neural network for pattern classification and function approximation. International Joint Conference on Neural Networks, 1, 13-18.
    • (1991) International Joint Conference on Neural Networks , pp. 13-18
    • Shin, Y.1    Ghosh, J.2
  • 8
    • 33846896444 scopus 로고
    • Approximation of multivariate functions using ridge polynomial networks
    • Piscataway, NJ: IEEE Press
    • Shin, Y., & Ghosh, J. (1992). Approximation of multivariate functions using ridge polynomial networks. In Proceedings of International joint Conference on Neural Networks (Vol. 2, pp. 380-385). Piscataway, NJ: IEEE Press.
    • (1992) Proceedings of International joint Conference on Neural Networks , vol.2 , pp. 380-385
    • Shin, Y.1    Ghosh, J.2
  • 10
    • 3142593934 scopus 로고    scopus 로고
    • Some new neural network architectures with improved learning schemes
    • Sinha, M., Kumar, K., & Kalra, P. K. (2000). Some new neural network architectures with improved learning schemes. Soft Computing, 4(4), 214-223.
    • (2000) Soft Computing , vol.4 , Issue.4 , pp. 214-223
    • Sinha, M.1    Kumar, K.2    Kalra, P.K.3
  • 12
    • 0036644587 scopus 로고    scopus 로고
    • Interpolation by ridge polynomials and its application in neural networks
    • Xin, L. (2002). Interpolation by ridge polynomials and its application in neural networks, Journal of Computational and Applied Mathematics, 144, 197-209.
    • (2002) Journal of Computational and Applied Mathematics , vol.144 , pp. 197-209
    • Xin, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.