A learning rule for very simple universal approximators consisting of a single layer of perceptrons
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A learning rule for very simple universal approximators consisting of a single layer of perceptrons. / Auer, Peter; Burgsteiner, Harald; Maass, Wolfgang.
in: Neural networks, Jahrgang 21, 2008, S. 786-795.
in: Neural networks, Jahrgang 21, 2008, S. 786-795.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Harvard
Auer, P, Burgsteiner, H & Maass, W 2008, 'A learning rule for very simple universal approximators consisting of a single layer of perceptrons', Neural networks, Jg. 21, S. 786-795.
APA
Auer, P., Burgsteiner, H., & Maass, W. (2008). A learning rule for very simple universal approximators consisting of a single layer of perceptrons. Neural networks, 21, 786-795.
Vancouver
Auer P, Burgsteiner H, Maass W. A learning rule for very simple universal approximators consisting of a single layer of perceptrons. Neural networks. 2008;21:786-795.
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Bibtex - Download
@article{50097bbf0d8948c4b4b4e343ee44cc48,
title = "A learning rule for very simple universal approximators consisting of a single layer of perceptrons",
author = "Peter Auer and Harald Burgsteiner and Wolfgang Maass",
year = "2008",
language = "English",
volume = "21",
pages = "786--795",
journal = "Neural networks",
issn = "0893-6080",
publisher = "Elsevier",
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - A learning rule for very simple universal approximators consisting of a single layer of perceptrons
AU - Auer, Peter
AU - Burgsteiner, Harald
AU - Maass, Wolfgang
PY - 2008
Y1 - 2008
M3 - Article
VL - 21
SP - 786
EP - 795
JO - Neural networks
JF - Neural networks
SN - 0893-6080
ER -
