Degree of Approximation by Neural and Translation Networks with a Single Hidden Layer
暂无分享,去创建一个
[1] A. Stroud. Approximate calculation of multiple integrals , 1973 .
[2] T. J. Rivlin,et al. Lectures on optimal recovery , 1985 .
[3] R. DeVore,et al. Optimal nonlinear approximation , 1989 .
[4] Kurt Hornik,et al. Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks , 1990, Neural Networks.
[5] Charles A. Micchelli,et al. Using the Refinement Equations for the Construction of Pre-Wavelets II: Powers of Two , 1991, Curves and Surfaces.
[6] Halbert White,et al. On learning the derivatives of an unknown mapping with multilayer feedforward networks , 1992, Neural Networks.
[7] Pierre Cardaliaguet,et al. Approximation of a function and its derivative with a neural network , 1992, Neural Networks.
[8] C. Micchelli,et al. Approximation by superposition of sigmoidal and radial basis functions , 1992 .
[9] Hrushikesh Narhar Mhaskar,et al. Approximation properties of a multilayered feedforward artificial neural network , 1993, Adv. Comput. Math..
[10] Allan Pinkus,et al. Multilayer Feedforward Networks with a Non-Polynomial Activation Function Can Approximate Any Function , 1991, Neural Networks.
[11] A. Timan. Theory of Approximation of Functions of a Real Variable , 1994 .
[12] Charles A. Micchelli,et al. Dimension-independent bounds on the degree of approximation by neural networks , 1994, IBM J. Res. Dev..