A self-stabilizing learning rule for minor component analysis

Möller R (2004)
International Journal of Neural Systems 14(01): 1-8.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Erscheinungsjahr
2004
Zeitschriftentitel
International Journal of Neural Systems
Band
14
Ausgabe
01
Seite(n)
1-8
ISSN
0129-0657
eISSN
1793-6462
Page URI
https://pub.uni-bielefeld.de/record/1937007

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Möller R. A self-stabilizing learning rule for minor component analysis. International Journal of Neural Systems. 2004;14(01):1-8.
Möller, R. (2004). A self-stabilizing learning rule for minor component analysis. International Journal of Neural Systems, 14(01), 1-8. https://doi.org/10.1142/s0129065704001863
Möller, Ralf. 2004. “A self-stabilizing learning rule for minor component analysis”. International Journal of Neural Systems 14 (01): 1-8.
Möller, R. (2004). A self-stabilizing learning rule for minor component analysis. International Journal of Neural Systems 14, 1-8.
Möller, R., 2004. A self-stabilizing learning rule for minor component analysis. International Journal of Neural Systems, 14(01), p 1-8.
R. Möller, “A self-stabilizing learning rule for minor component analysis”, International Journal of Neural Systems, vol. 14, 2004, pp. 1-8.
Möller, R.: A self-stabilizing learning rule for minor component analysis. International Journal of Neural Systems. 14, 1-8 (2004).
Möller, Ralf. “A self-stabilizing learning rule for minor component analysis”. International Journal of Neural Systems 14.01 (2004): 1-8.

5 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

An Adaptive Self-Stabilizing Algorithm for Minor Generalized Eigenvector Extraction and Its Convergence Analysis.
Yingbin G, Xiangyu K, Zhengxin Z, Li'an H., IEEE Trans Neural Netw Learn Syst 29(10), 2018
PMID: 29993961
Time series prediction with improved neuro-endocrine model.
Chen D, Wang J, Zou F, Yuan W, Hou W., Neural Comput Appl 24(6), 2014
PMID: 24719519
Convergence analysis of a simple minor component analysis algorithm.
Peng D, Yi Z, Luo W., Neural Netw 20(7), 2007
PMID: 17765471

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