Coupled Principal Component Analysis

Möller R, Könies A (2004)
IEEE Transactions on Neural Networks 15(1): 214-222.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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DOI
Autor*in
Möller, RalfUniBi ; Könies, Axel
Einrichtung
Technische Fakultät > AG Technische Informatik
Stichworte
speed-stability tradeoff; (PCA); principal component analysis; Oja's rule; Newton's method; networks; neural; adaptive learning algorithm; minor component analysis (MCA); robust recursive least squares learning algorithm
Erscheinungsjahr
2004
Zeitschriftentitel
IEEE Transactions on Neural Networks
Band
15
Ausgabe
1
Seite(n)
214-222
ISSN
1045-9227
Page URI
https://pub.uni-bielefeld.de/record/1937001

Zitieren

Möller R, Könies A. Coupled Principal Component Analysis. IEEE Transactions on Neural Networks. 2004;15(1):214-222.
Möller, R., & Könies, A. (2004). Coupled Principal Component Analysis. IEEE Transactions on Neural Networks, 15(1), 214-222. https://doi.org/10.1109/TNN.2003.820439
Möller, Ralf, and Könies, Axel. 2004. “Coupled Principal Component Analysis”. IEEE Transactions on Neural Networks 15 (1): 214-222.
Möller, R., and Könies, A. (2004). Coupled Principal Component Analysis. IEEE Transactions on Neural Networks 15, 214-222.
Möller, R., & Könies, A., 2004. Coupled Principal Component Analysis. IEEE Transactions on Neural Networks, 15(1), p 214-222.
R. Möller and A. Könies, “Coupled Principal Component Analysis”, IEEE Transactions on Neural Networks, vol. 15, 2004, pp. 214-222.
Möller, R., Könies, A.: Coupled Principal Component Analysis. IEEE Transactions on Neural Networks. 15, 214-222 (2004).
Möller, Ralf, and Könies, Axel. “Coupled Principal Component Analysis”. IEEE Transactions on Neural Networks 15.1 (2004): 214-222.

8 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Non-divergence of stochastic discrete time algorithms for PCA neural networks.
Lv JC, Yi Z, Li Y., IEEE Trans Neural Netw Learn Syst 26(2), 2015
PMID: 25608296
A unified self-stabilizing neural network algorithm for principal and minor components extraction.
Kong X, Hu C, Ma H, Han C., IEEE Trans Neural Netw Learn Syst 23(2), 2012
PMID: 24808499
Convergence analysis of deterministic discrete time system of a unified self-stabilizing algorithm for PCA and MCA.
Kong X, An Q, Ma H, Han C, Zhang Q., Neural Netw 36(), 2012
PMID: 23041670
Boolean factor analysis by attractor neural network.
Frolov AA, Husek D, Muraviev IP, Polyakov PY., IEEE Trans Neural Netw 18(3), 2007
PMID: 17526337
Determination of the number of principal directions in a biologically plausible PCA model.
Lv JC, Yi Z, Tan KK., IEEE Trans Neural Netw 18(3), 2007
PMID: 17526356
Modulated Hebb-Oja learning rule--a method for principal subspace analysis.
Jankovic MV, Ogawa H., IEEE Trans Neural Netw 17(2), 2006
PMID: 16566463
A class of self-stabilizing MCA learning algorithms.
Ye M, Fan XQ, Li X., IEEE Trans Neural Netw 17(6), 2006
PMID: 17131676
Auditory learning: a developmental method.
Zhang Y, Weng J, Hwang WS., IEEE Trans Neural Netw 16(3), 2005
PMID: 15940990

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