Optimal function approximation with ReLU neural networks

Бо Лю; Yi Liang

doi:10.1016/j.neucom.2021.01.007

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Optimal function approximation with ReLU neural networks

Бо Лю Yi Liang

Year: 2021 Journal: Neurocomputing Vol: 435 Pages: 216-227 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2021.01.007

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Keywords:

Approximation error Function approximation Stochastic approximation Artificial neural network Computer science Approximation algorithm Convex function Convergence (economics) Approximations of π Minimax approximation algorithm Mathematical optimization Limit (mathematics) Stochastic gradient descent Approximation theory Function (biology) Univariate Applied mathematics Mathematics Regular polygon Algorithm Artificial intelligence Machine learning Key (lock)

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Model Reduction and Neural Networks

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Optimal function approximation with ReLU neural networks

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