Approximation in shift-invariant spaces with deep ReLU neural networks

Yunfei Yang; Zhen Li; Yang Wang

doi:10.1016/j.neunet.2022.06.013

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Approximation in shift-invariant spaces with deep ReLU neural networks

Yunfei Yang Zhen Li Yang Wang

Year: 2022 Journal: Neural Networks Vol: 153 Pages: 269-281 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2022.06.013

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Keywords:

Artificial neural network Sobolev space Invariant (physics) Approximation error Logarithm Mathematics Function approximation Deep learning Approximation theory Computer science Algorithm Topology (electrical circuits) Artificial intelligence Pure mathematics Mathematical analysis Combinatorics

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Advanced Numerical Analysis Techniques

Physical Sciences → Engineering → Computational Mechanics

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Model Reduction and Neural Networks

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Approximation in shift-invariant spaces with deep ReLU neural networks

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