Approximation Capabilities of Neural Networks
暂无分享,去创建一个
[1] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[2] T. Poggio,et al. Networks and the best approximation property , 1990, Biological Cybernetics.
[3] Neil E. Cotter,et al. The Stone-Weierstrass theorem and its application to neural networks , 1990, IEEE Trans. Neural Networks.
[4] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[5] A. N. Tikhonov,et al. Solutions of ill-posed problems , 1977 .
[6] C. Micchelli. Interpolation of scattered data: Distance matrices and conditionally positive definite functions , 1986 .
[7] A Tikhonov,et al. Solution of Incorrectly Formulated Problems and the Regularization Method , 1963 .
[8] F. Girosi,et al. Networks for approximation and learning , 1990, Proc. IEEE.
[9] Vladik Kreinovich,et al. Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem , 1991, Neural Networks.
[10] Ken-ichi Funahashi,et al. On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.
[11] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.