메뉴 건너뛰기




Volumn 54, Issue 4, 2007, Pages 348-352

A modified oja-xu MCA learning algorithm and its convergence analysis

Author keywords

Deterministic discrete time (DDT) system; eigen value; eigenvector; minor component analysis (MCA); neural networks

Indexed keywords

COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; DISCRETE TIME CONTROL SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; NEURAL NETWORKS;

EID: 34247363530     PISSN: 15497747     EISSN: 15583791     Source Type: Journal    
DOI: 10.1109/TCSII.2006.889709     Document Type: Article
Times cited : (17)

References (15)
  • 2
    • 0026745682 scopus 로고
    • Modified Hebbian learning for curve and surface fitting
    • L. Xu, E. Oja, and C. Suen, “Modified Hebbian learning for curve and surface fitting,” Neural Netw., vol. 5, pp. 441–457, 1992.
    • (1992) Neural Netw. , vol.5 , pp. 441-457
    • Xu, L.1    Oja, E.2    Suen, C.3
  • 3
    • 0018920839 scopus 로고
    • An adaptive spectral analysis technique for unbiased frequency estimation in the presence of white noise
    • Pacific Grove, CA
    • P. A. Thompson, “An adaptive spectral analysis technique for unbiased frequency estimation in the presence of white noise,” in Proc. 13thAsilomar Conf. Circuits, System Computation, Pacific Grove, CA, 1979, pp. 529–533.
    • (1979) Proc. 13thAsilomar Conf. Circuits, System Computation , pp. 529-533
    • Thompson, P.A.1
  • 4
    • 0023963505 scopus 로고
    • Adaptive eigensubspace algorithms for direction or frequency estimation and tracking
    • Feb.
    • J. F. Yang and M. Kaveh, “Adaptive eigensubspace algorithms for direction or frequency estimation and tracking,” IEEE Trans. Acoust., Speech, Signal Process., vol. 36, no. 2, pp. 241–251, Feb. 1988.
    • (1988) IEEE Trans. Acoust., Speech, Signal Process. , vol.36 , Issue.2 , pp. 241-251
    • Yang, J.F.1    Kaveh, M.2
  • 5
    • 0031105381 scopus 로고    scopus 로고
    • A minor component analysis algorithm
    • F. Luo, R. Unbehauen, and A. Cichocki, “A minor component analysis algorithm,” Neural Netw., vol. 10, no. 2, pp. 291–297, 1997.
    • (1997) Neural Netw. , vol.10 , Issue.2 , pp. 291-297
    • Luo, F.1    Unbehauen, R.2    Cichocki, A.3
  • 6
    • 0026954958 scopus 로고
    • Principal components, minor components and linear neural networks
    • E. Oja, “Principal components, minor components and linear neural networks,” Neural Netw., vol. 5, pp. 927–935, 1992.
    • (1992) Neural Netw. , vol.5 , pp. 927-935
    • Oja, E.1
  • 7
    • 0345627997 scopus 로고    scopus 로고
    • A unified algorithm for principal and minor components extraction
    • T. Chen, S. Amari, and Q. Fin, “A unified algorithm for principal and minor components extraction,” Neural Netw., vol. 11, pp. 385–390, 1998.
    • (1998) Neural Netw. , vol.11 , pp. 385-390
    • Chen, T.1    Amari, S.2    Fin, Q.3
  • 8
    • 2542630603 scopus 로고    scopus 로고
    • Global output convergence of a class of continuous-time recurrent neural networks with time-varying thresholds
    • Apr.
    • D. Liu, S. Hu, and J. Wang, “Global output convergence of a class of continuous-time recurrent neural networks with time-varying thresholds,” IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 51, no. 4, pp. 161–167, Apr. 2004.
    • (2004) IEEE Trans. Circuits Syst. II, Exp. Briefs , vol.51 , Issue.4 , pp. 161-167
    • Liu, D.1    Hu, S.2    Wang, J.3
  • 9
    • 28444483956 scopus 로고    scopus 로고
    • Global exponential convergence of multitime-scale neural networks
    • Nov.
    • H. Lu and G. Chen, “Global exponential convergence of multitime-scale neural networks,” IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 52, no. 11, pp. 761–765, Nov. 2005.
    • (2005) IEEE Trans. Circuits Syst. II, Exp. Briefs , vol.52 , Issue.11 , pp. 761-765
    • Lu, H.1    Chen, G.2
  • 10
    • 0017526570 scopus 로고
    • Aanlysis of recursive stochastic algorithms
    • Mar.
    • L. Ljung, “Aanlysis of recursive stochastic algorithms,” IEEE Trans. Autom. Contr., vol. AC-22, no. 3, pp. 551–575, Mar. 1977.
    • (1977) IEEE Trans. Autom. Contr. , vol.AC-22 , Issue.3 , pp. 551-575
    • Ljung, L.1
  • 11
    • 0036858172 scopus 로고    scopus 로고
    • On the discrete-time dynamics of the basic Hebbian neural-network nodes
    • Nov.
    • P. J. Zufiria, “On the discrete-time dynamics of the basic Hebbian neural-network nodes,” IEEE Trans. Neural Netw., vol. 13, no. 6, pp. 1342–1352, Nov. 2002.
    • (2002) IEEE Trans. Neural Netw. , vol.13 , Issue.6 , pp. 1342-1352
    • Zufiria, P.J.1
  • 12
    • 33847161022 scopus 로고    scopus 로고
    • Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm
    • to be published.
    • Z. Yi, M. Ye, J. C. Lv, and K. K. Tan, “Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm,” IEEE Trans. Neural Netw., to be published.
    • IEEE Trans. Neural Netw.
    • Yi, Z.1    Ye, M.2    Lv, J.C.3    Tan, K.K.4
  • 13
    • 0344826085 scopus 로고    scopus 로고
    • On the discrete-time dynamics of a PCA learning algorithm
    • Q. Zhang, “On the discrete-time dynamics of a PCA learning algorithm,” Neurocomput., vol. 55, pp. 761–769, 2003.
    • (2003) Neurocomput. , vol.55 , pp. 761-769
    • Zhang, Q.1
  • 14
    • 34247374489 scopus 로고    scopus 로고
    • Convergence analysis for Oja+ MCA learning algorithm
    • J. Lv, M. Ye, and Z. Yi, “Convergence analysis for Oja+ MCA learning algorithm,” Lecture Notes Comp. Sci., vol. 3173, pp. 810–815, 2004.
    • (2004) Lecture Notes Comp. Sci. , vol.3173 , pp. 810-815
    • Lv, J.1    Ye, M.2    Yi, Z.3
  • 15
    • 0033750718 scopus 로고    scopus 로고
    • Algorithm for accelerated convergence of adaptive PCA
    • Feb.
    • C. Chatterjee, Z. Kang, and V. P. Roychowdhury, “Algorithm for accelerated convergence of adaptive PCA,” IEEE Trans. Neural Netw., vol. 11, no. 2, pp. 338–355, Feb. 2000.
    • (2000) IEEE Trans. Neural Netw. , vol.11 , Issue.2 , pp. 338-355
    • Chatterjee, C.1    Kang, Z.2    Roychowdhury, V.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.