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Volumn 1983, Issue , 2000, Pages 158-163

A general class of neural networks for principal component analysis and factor analysis

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; ENGINEERING EDUCATION; FACTOR ANALYSIS; INTELLIGENT AGENTS; MULTIVARIANT ANALYSIS; STABILITY;

EID: 84944034541     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44491-2_24     Document Type: Conference Paper
Times cited : (4)

References (12)
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    • C. Fyfe. Introducing asymmetry into interneuron learning. Neural Computation, 7(6):1167-1181, 1995.
    • (1995) Neural Computation , vol.7 , Issue.6 , pp. 1167-1181
    • Fyfe, C.1
  • 4
    • 0031207174 scopus 로고    scopus 로고
    • A neural net for pca and beyond
    • C. Fyfe. A neural net for pca and beyond. Neural Processing Letters, 6(1):33-41, 1997.
    • (1997) Neural Processing Letters , vol.6 , Issue.1 , pp. 33-41
    • Fyfe, C.1
  • 5
    • 0020464111 scopus 로고
    • A simplified neuron model as a principal component analyser
    • E. Oja. A simplified neuron model as a principal component analyser. Journal of Mathematical Biology, 16:267-273, 1982.
    • (1982) Journal of Mathematical Biology , vol.16 , pp. 267-273
    • Oja, E.1
  • 6
    • 0002399288 scopus 로고
    • Neural networks, principal components and subspaces
    • E. Oja. Neural networks, principal components and subspaces. International Journal of Neural Systems, 1:61-68, 1989.
    • (1989) International Journal of Neural Systems , vol.1 , pp. 61-68
    • Oja, E.1
  • 7
    • 0001387410 scopus 로고
    • Principal component analysis by homogeneous neural networks, part 1: The weighted subspace criterion
    • May
    • E. Oja, H. Ogawa, and J. Wangviwattana. Principal component analysis by homogeneous neural networks, part 1: The weighted subspace criterion. IEICE Trans. Inf. & Syst., E75-D:366-375, May 1992.
    • (1992) IEICE Trans. Inf. & Syst , vol.E75-D , pp. 366-375
    • Oja, E.1    Ogawa, H.2    Wangviwattana, J.3
  • 8
    • 0022013023 scopus 로고
    • On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
    • Erkki Oja and Juha Karhunen. On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix. Journal of Mathematical Analysis and Applications, 106:69-84, 1985.
    • (1985) Journal of Mathematical Analysis and Applications , vol.106 , pp. 69-84
    • Oja, E.1    Karhunen, J.2
  • 9
    • 84956074083 scopus 로고
    • A self-organising network for principal-component analysis
    • J. Rubner and P. Tavan. A self-organising network for principal-component analysis. Europhysics Letters, 10(7):693-698, Dec 1989.
    • (1989) Europhysics Letters , vol.10 , Issue.7 , pp. 693-698
    • Rubner, J.1    Tavan, P.2
  • 10
    • 0024991999 scopus 로고
    • Analysis of the two-dimensional receptive fields learned by the generalized hebbian algorithm in response to random input
    • T.D. Sanger. Analysis of the two-dimensional receptive fields learned by the generalized hebbian algorithm in response to random input. Biological Cybernetics, 1990.
    • (1990) Biological Cybernetics
    • Sanger, T.D.1
  • 12
    • 0033640636 scopus 로고    scopus 로고
    • A class of learning algorithms for principal component analysis and minor component analysis
    • Qingfu Zhang and Yiu-Wing Leung. A class of learning algorithms for principal component analysis and minor component analysis. IEEE Transactions on Neural Networks, 11(1):200-204, Jan 2000.
    • (2000) IEEE Transactions on Neural Networks , vol.11 , Issue.1 , pp. 200-204
    • Zhang, Q.1    Leung, Y.-W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.