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Lower bounds for artificial neural network approximations: A proof that shallow neural networks fail to overcome the curse of dimensionality
Grohs P, Ibragimov S, Jentzen A, Koppensteiner S
Research article (journal)
| Peer reviewed
Details about the publication
Journal:
Journal of Complexity
Volume:
0
Article number:
101746
Status:
accepted / in press (not yet published)
Release year:
2023
Language in which the publication is written:
English
DOI:
10.1016/j.jco.2023.101746
Link to the full text:
https://www.sciencedirect.com/science/article/abs/pii/S0885064X23000158?via=ihub
Keywords:
artificial neural networks; artificial neural network approximations; curse of dimensionality; overcoming the curse of dimensionality; lower bounds
Authors from the University of Münster
Ibragimov
,
Shokhrukh
Professorship for applied mathematics (Prof. Jentzen)
Jentzen
,
Arnulf
Institute for Analysis and Numerics