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Volumn , Issue , 2009, Pages 3698-3703

Modeling, verification and comparison of zhang neural net and gradient neural net for online solution of time-varying linear matrix equation

Author keywords

Blocks modeling; Gradient based neural networks; Recurrent neural networks (RNN); Time varying linear matrix equations; Verification and comparison

Indexed keywords

BLOCKS MODELING; DESIGN METHOD; GRADIENT-BASED NEURAL NETWORKS; HARDWARE REALIZATION; LINEAR MATRIX EQUATIONS; MATRIX EQUATIONS; NEURAL NET; ONLINE TIME; TIME VARYING; TIME-VARYING LINEAR MATRIX EQUATIONS; VERIFICATION RESULTS;

EID: 70349312843     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2009.5138893     Document Type: Conference Paper
Times cited : (3)

References (21)
  • 2
    • 65449150244 scopus 로고    scopus 로고
    • A. Wiesel, Y. C. Eldar, and S. Shamai (Shitz), Zero-forcing precoding and generalized inverses, IEEE Transactions on Signal Processing, 56, no. 9, pp. 4409-4418, 2008.
    • A. Wiesel, Y. C. Eldar, and S. Shamai (Shitz), "Zero-forcing precoding and generalized inverses," IEEE Transactions on Signal Processing, vol. 56, no. 9, pp. 4409-4418, 2008.
  • 3
    • 33947149688 scopus 로고    scopus 로고
    • 2)- operation approximation of covariance matrix inverse in Gaussian process regression based on quasi-Newton BFGS methods
    • 2)- operation approximation of covariance matrix inverse in Gaussian process regression based on quasi-Newton BFGS methods," Communications in Statistics - Simulation and Computation, vol. 36, no. 2, pp. 367-380, 2007.
    • (2007) Communications in Statistics - Simulation and Computation , vol.36 , Issue.2 , pp. 367-380
    • Leithead, W.E.1    Zhang, Y.2
  • 4
    • 0027678195 scopus 로고
    • Regularized image reconstruction using SVD and a neural network method for matrix inversion
    • R. J. Steriti and M. A. Fiddy, "Regularized image reconstruction using SVD and a neural network method for matrix inversion," IEEE Transactions on Signal Processing, vol. 41, no. 10, pp. 3074-3077, 1993.
    • (1993) IEEE Transactions on Signal Processing , vol.41 , Issue.10 , pp. 3074-3077
    • Steriti, R.J.1    Fiddy, M.A.2
  • 5
    • 0023996590 scopus 로고
    • Analog matrix inversion (robot kinematics)
    • R. H. Sturges, Jr, "Analog matrix inversion (robot kinematics)," IEEE Journal of Robotics and Automation, vol. 4, no. 2, pp. 157-162, 1988.
    • (1988) IEEE Journal of Robotics and Automation , vol.4 , Issue.2 , pp. 157-162
    • Sturges Jr, R.H.1
  • 6
    • 0022721216 scopus 로고
    • Simple neural optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit
    • D. Tank and J. Hopfield, "Simple neural optimization networks: an A/D converter, signal decision circuit, and a linear programming circuit," IEEE Transactions on Circuits and Systems, vol. 33, no. 5, pp. 533-541, 1986.
    • (1986) IEEE Transactions on Circuits and Systems , vol.33 , Issue.5 , pp. 533-541
    • Tank, D.1    Hopfield, J.2
  • 7
    • 0002869551 scopus 로고
    • An optimization network for matrix inversion
    • Systems, D. Z. Anderson, Eds. New York: American Institute of Physics
    • J. Jang, S. Lee, and S. Shin, "An optimization network for matrix inversion," in Neural Information Processing Systems, D. Z. Anderson, Eds. New York: American Institute of Physics, 1988, pp. 397-401.
    • (1988) Neural Information Processing , pp. 397-401
    • Jang, J.1    Lee, S.2    Shin, S.3
  • 8
    • 38249001468 scopus 로고
    • A recurrent neural network for real-time matrix inversion
    • J. Wang, "A recurrent neural network for real-time matrix inversion," Applied Mathematics and Computation, vol. 55, pp. 89-100, 1993.
    • (1993) Applied Mathematics and Computation , vol.55 , pp. 89-100
    • Wang, J.1
  • 9
    • 0010515812 scopus 로고    scopus 로고
    • Complex recurrent neural network for computing the inverse and pseudo-inverse of the complex matrix
    • J. Song and Y. Yam, "Complex recurrent neural network for computing the inverse and pseudo-inverse of the complex matrix," Applied Mathematics and Computation, vol. 93, pp. 195-205, 1998.
    • (1998) Applied Mathematics and Computation , vol.93 , pp. 195-205
    • Song, J.1    Yam, Y.2
  • 12
    • 33745184235 scopus 로고    scopus 로고
    • Revisit the analog computer and gradient-based neural system for matrix inversion
    • June
    • Y. Zhang, "Revisit the analog computer and gradient-based neural system for matrix inversion," Proceedings of IEEE International Symposium on Intelligent Control, pp. 1411-1416, June 2005.
    • (2005) Proceedings of IEEE International Symposium on Intelligent Control , pp. 1411-1416
    • Zhang, Y.1
  • 13
    • 0036738835 scopus 로고    scopus 로고
    • A recurrent neural network for solving Sylvester equation with time-varying coefficients
    • Y. Zhang, D. Jiang, and J. Wang, "A recurrent neural network for solving Sylvester equation with time-varying coefficients," IEEE Transactions on Neural Networks, vol. 13, no. 5, pp. 1053-1063, 2002.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.5 , pp. 1053-1063
    • Zhang, Y.1    Jiang, D.2    Wang, J.3
  • 15
    • 28244493362 scopus 로고    scopus 로고
    • Design and analysis of a general recurrent neural network model for time-varying matrix inversion
    • Y. Zhang and S. S. Ge, "Design and analysis of a general recurrent neural network model for time-varying matrix inversion," IEEE Transactions on Neural Networks, vol. 16, no. 6, pp. 1477-1490, 2005.
    • (2005) IEEE Transactions on Neural Networks , vol.16 , Issue.6 , pp. 1477-1490
    • Zhang, Y.1    Ge, S.S.2
  • 16
    • 70349346226 scopus 로고    scopus 로고
    • The MathWorks Inc, Using Simulink, version 6.6, Natick, MA, 2007, available at
    • The MathWorks Inc., Using Simulink, version 6.6, Natick, MA, 2007, available at http://www.mathworks.com/access/helpdesk/help/toolbox/simulink.
  • 17
    • 54549086814 scopus 로고    scopus 로고
    • Comparison on Zhang neural network and gradient neural network for time-varying linear matrix equation AXB = C solving
    • April
    • Y. Zhang and K. Chen, "Comparison on Zhang neural network and gradient neural network for time-varying linear matrix equation AXB = C solving," Proceedings of IEEE International Conference on Industrial Technology, pp. 1-6, April 2008.
    • (2008) Proceedings of IEEE International Conference on Industrial Technology , pp. 1-6
    • Zhang, Y.1    Chen, K.2
  • 18
    • 53049107455 scopus 로고    scopus 로고
    • MATLAB simulation and comparison of Zhang neural network and gradient neural network for online solution of linear time-varying matrix equation AXB - C = 0
    • September
    • K. Chen, S. Yue, and Y. Zhang, "MATLAB simulation and comparison of Zhang neural network and gradient neural network for online solution of linear time-varying matrix equation AXB - C = 0," Lecture Notes in Computer Science, vol. 5227, pp. 68-75, September 2008.
    • (2008) Lecture Notes in Computer Science , vol.5227 , pp. 68-75
    • Chen, K.1    Yue, S.2    Zhang, Y.3
  • 20
    • 38649104125 scopus 로고    scopus 로고
    • Global exponential convergence and stability of Wang neural network for solving online linear equations
    • Y. Zhang and K. Chen, "Global exponential convergence and stability of Wang neural network for solving online linear equations," Electronics Letters, vol. 44, no. 2, pp. 145-146, 2008.
    • (2008) Electronics Letters , vol.44 , Issue.2 , pp. 145-146
    • Zhang, Y.1    Chen, K.2
  • 21
    • 57849119222 scopus 로고    scopus 로고
    • Modeling and simulation of Zhang neural network for online linear time-varying equations solving based on Matlab Simulink
    • April
    • Y. Zhang, X. Guo, and W. Ma, "Modeling and simulation of Zhang neural network for online linear time-varying equations solving based on Matlab Simulink," Proceedings of the 7th International Conference on Machine Learning and Cybernetics, pp. 805-810, April 2008.
    • (2008) Proceedings of the 7th International Conference on Machine Learning and Cybernetics , pp. 805-810
    • Zhang, Y.1    Guo, X.2    Ma, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.