메뉴 건너뛰기




Volumn 13, Issue 3, 2000, Pages 365-375

Information complexity of neural networks

Author keywords

Complexity; Feedforward neural network; Information complexity; Learning; Neural complexity; Radial basis functions; RBF networks

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SYSTEMS PROGRAMMING; LEARNING SYSTEMS;

EID: 0034065825     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(00)00015-0     Document Type: Article
Times cited : (30)

References (18)
  • 2
    • 0027599793 scopus 로고
    • Universal approximation bounds for superposition of a sigmoidal function
    • Barron A.R. Universal approximation bounds for superposition of a sigmoidal function. IEEE Transactions in Information Theory. 39:1993;930-945.
    • (1993) IEEE Transactions in Information Theory , vol.39 , pp. 930-945
    • Barron, A.R.1
  • 4
    • 27844503288 scopus 로고    scopus 로고
    • Limitations of the approximation capabilities of neural networks with one hidden layer
    • Chui C.K., Li X., Mhaskar H.N. Limitations of the approximation capabilities of neural networks with one hidden layer. Advances in Computational Mathematics. 5:1996;233-243.
    • (1996) Advances in Computational Mathematics , vol.5 , pp. 233-243
    • Chui, C.K.1    Li, X.2    Mhaskar, H.N.3
  • 5
    • 0000378922 scopus 로고
    • Approximation by ridge functions and neural networks with one hidden layer
    • Chui C.K., Li X. Approximation by ridge functions and neural networks with one hidden layer. Journal of Approximation Theory. 70:1992;131-141.
    • (1992) Journal of Approximation Theory , vol.70 , pp. 131-141
    • Chui, C.K.1    Li, X.2
  • 6
    • 0024991997 scopus 로고
    • Networks and the best approximation property
    • Girosi F., Poggio T. Networks and the best approximation property. Biological Cybernetics. 63:1990;169-176.
    • (1990) Biological Cybernetics , vol.63 , pp. 169-176
    • Girosi, F.1    Poggio, T.2
  • 7
    • 0001897992 scopus 로고
    • Optimal estimation of linear operators in Hilbert spaces from inaccurate data
    • Melkman A.A., Micchelli C.A. Optimal estimation of linear operators in Hilbert spaces from inaccurate data. SIAM Journal on Numerical Analysis. 16:1979;87-105.
    • (1979) SIAM Journal on Numerical Analysis , vol.16 , pp. 87-105
    • Melkman, A.A.1    Micchelli, C.A.2
  • 8
    • 0342471393 scopus 로고    scopus 로고
    • Neural networks and approximation theory
    • Mhaskar H.N. Neural networks and approximation theory. Neural Networks. 9:1996;721-722.
    • (1996) Neural Networks , vol.9 , pp. 721-722
    • Mhaskar, H.N.1
  • 9
    • 0000358945 scopus 로고
    • Approximation by superposition of sigmoidal and radial basis functions
    • Mhaskar H.N., Micchelli C.A. Approximation by superposition of sigmoidal and radial basis functions. Advances in Applied Mathematics. 13:1992;350-373.
    • (1992) Advances in Applied Mathematics , vol.13 , pp. 350-373
    • Mhaskar, H.N.1    Micchelli, C.A.2
  • 10
    • 0028424688 scopus 로고
    • Dimension independent bounds on the degree of approximation by neural networks
    • Mhaskar H.N., Micchelli C.A. Dimension independent bounds on the degree of approximation by neural networks. IBM Journal of Research and Development. 38:1994;277-284.
    • (1994) IBM Journal of Research and Development , vol.38 , pp. 277-284
    • Mhaskar, H.N.1    Micchelli, C.A.2
  • 11
    • 0000194429 scopus 로고
    • Degree of approximation by neural and translation networks with a single hidden layer
    • Mhaskar H.N., Micchelli C.A. Degree of approximation by neural and translation networks with a single hidden layer. Advances in Applied Mathematics. 161:1995;151-183.
    • (1995) Advances in Applied Mathematics , vol.161 , pp. 151-183
    • Mhaskar, H.N.1    Micchelli, C.A.2
  • 12
    • 84988474696 scopus 로고
    • How to choose an activation function
    • S.J. Hanson, J.D. Cowan, Giles C.L. San Mateo, CA: Morgan Kaufmann
    • Mhaskar H.N., Micchelli C.A. How to choose an activation function. Hanson S.J., Cowan J.D., Giles C.L. Advances in Neural Information Processing Systems. 5:1993;Morgan Kaufmann, San Mateo, CA.
    • (1993) Advances in Neural Information Processing Systems , vol.5
    • Mhaskar, H.N.1    Micchelli, C.A.2
  • 16
    • 0025056697 scopus 로고
    • Regularization algorithms for learning that are equivalent to multilayer networks
    • Poggio T., Girosi F. Regularization algorithms for learning that are equivalent to multilayer networks. Science. 247:1990;978-982.
    • (1990) Science , vol.247 , pp. 978-982
    • Poggio, T.1    Girosi, F.2
  • 17
    • 0003207159 scopus 로고
    • A theory of networks for approximation and learning
    • MIT AI Lab
    • Poggio, T., & Girosi, F. (1989). A theory of networks for approximation and learning, Artificial Intelligence Memoirs, 1140, MIT AI Lab.
    • (1989) Artificial Intelligence Memoirs , pp. 1140
    • Poggio, T.1    Girosi, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.