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DEEP RELU NETWORKS OVERCOME THE CURSE OF DIMENSIONALITY FOR GENERALIZED BANDLIMITED FUNCTIONS
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作者 Hadrien Montanelli Haizhao Yang Qiang Du 《Journal of Computational Mathematics》 SCIE CSCD 2021年第6期801-815,共15页
We prove a theorem concerning the approximation of generalized bandlimited multivariate functions by deep ReLU networks for which the curse of the dimensionality is overcome.Our theorem is based on a result by Maurey ... We prove a theorem concerning the approximation of generalized bandlimited multivariate functions by deep ReLU networks for which the curse of the dimensionality is overcome.Our theorem is based on a result by Maurey and on the ability of deep ReLU networks to approximate Chebyshev polynomials and analytic functions efficiently. 展开更多
关键词 Machine learning Deep ReLU networks Curse of dimensionality Approximation theory bandlimited functions Chebyshev polynomials
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