Correction: Approximation of Nonlinear Functionals Using Deep ReLU Networks

Linhao Song; Jun Fan; Di-Rong Chen; Ding-Xuan Zhou

doi:10.1007/s00041-023-10038-y

Correction: Approximation of Nonlinear Functionals Using Deep ReLU Networks

Linhao Song
, Jun Fan^*
, Di-Rong Chen
, Ding-Xuan Zhou

^*Corresponding author for this work

Department of Data Science

Research output: Journal Publications and Reviews › Erratum

1 Citation (Scopus)

Original language	English
Article number	57
Journal	Journal of Fourier Analysis and Applications
Volume	29
Issue number	5
Online published	22 Aug 2023
DOIs	https://doi.org/10.1007/s00041-023-10038-y
Publication status	Published - Oct 2023

Access Output

10.1007/s00041-023-10038-y

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@article{3fa603b210764a1b8ac1fb7aad1aeaec,

title = "Correction: Approximation of Nonlinear Functionals Using Deep ReLU Networks",

author = "Linhao Song and Jun Fan and Di-Rong Chen and Ding-Xuan Zhou",

year = "2023",

month = oct,

doi = "10.1007/s00041-023-10038-y",

language = "English",

volume = "29",

journal = "Journal of Fourier Analysis and Applications",

issn = "1069-5869",

publisher = "Birkhauser Boston",

number = "5",

}

TY - JOUR

T1 - Correction

T2 - Approximation of Nonlinear Functionals Using Deep ReLU Networks

AU - Song, Linhao

AU - Fan, Jun

AU - Chen, Di-Rong

AU - Zhou, Ding-Xuan

PY - 2023/10

Y1 - 2023/10

UR - https://www.scopus.com/pages/publications/85168467597

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85168467597&origin=recordpage

U2 - 10.1007/s00041-023-10038-y

DO - 10.1007/s00041-023-10038-y

M3 - Erratum

SN - 1069-5869

VL - 29

JO - Journal of Fourier Analysis and Applications

JF - Journal of Fourier Analysis and Applications

IS - 5

M1 - 57

ER -

Correction: Approximation of Nonlinear Functionals Using Deep ReLU Networks

Access Output

Other Access Options

Permanent Link

Other Files and Links

Research output

Approximation of Nonlinear Functionals Using Deep ReLU Networks

Cite this