Cited by 309Neural Networks and ApplicationsMathematical Analysis and Transform MethodsMachine Learning and ELM

The DOI matches its Crossref record, with a small difference in title or year; 38 of the 38 references it cites were found in a registry or an index.

Neural network with unbounded activation functions is universal approximator

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Sonoda, Sho, Murata, Noboru·2017·Applied and Computational Harmonic Analysis

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Crossref · 10.1016/j.acha.2015.12.005

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Metadata

Authors
Sonoda, S., & Murata, N.
Affiliations
Waseda University (JP)
Corresponding author
Sonoda, Sho
Venue
Applied and Computational Harmonic Analysis
Publisher
Elsevier BV
Published
2017-09
Volume
43
Issue
2
Pages
233-268
ISSN
1063-5203 (ISSN-L)
OpenAlex
W2267236547
Cited by
303
References
36
Citations by year
2026: 13 · 2025: 34 · 2024: 37 · 2023: 32 · 2022: 33 · 2021: 47 · 2020: 40 · 2019: 31 · 2018: 22 · 2017: 9
FWCI
11.77
Type
journal article
Language
en
Open access
Locations
  • Applied and Computational Harmonic Analysis (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
JSPS (15J07517)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
  • Physical Sciences › Mathematics › Applied Mathematics › Mathematical Analysis and Transform Methods
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and ELM
Keywords
universal approximation, artificial neural networks, unbounded activation functions, rectified linear units, ridgelet transform, Fourier slice theorem, Radon transform, admissibility conditions, low-pass filtering, backpropagation

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