메뉴 건너뛰기




Volumn , Issue , 2009, Pages 566-571

Further studies on zhang neural-dynamics and gradient dynamics for online nonlinear equations solving

Author keywords

Convergence; Energy function; Error function; Gradient; Neural dynamics (ND); Nonlinear equation

Indexed keywords

ENERGY FUNCTIONS; ERROR FUNCTION; GRADIENT BASED; GRADIENT DYNAMICS; ILLUSTRATIVE EXAMPLES; NEURAL DYNAMICS; POSITIVE ENERGIES; SIMULATION RESULT;

EID: 70450163468     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAL.2009.5262860     Document Type: Conference Paper
Times cited : (23)

References (18)
  • 2
    • 27144516174 scopus 로고    scopus 로고
    • A composite third order newton-steffensen method for solving nonlinear equations
    • J. R. Sharma, "A composite third order newton-steffensen method for solving nonlinear equations," Applied Mathematics and Computation, vol. 169, pp. 242-246, 2005.
    • (2005) Applied Mathematics and Computation , vol.169 , pp. 242-246
    • Sharma, J.R.1
  • 3
    • 33846968782 scopus 로고    scopus 로고
    • Construction of Newton-like iteration methods for solving nonlinear equations
    • C. Chun, "Construction of Newton-like iteration methods for solving nonlinear equations," Numerische Mathematik, vol. 104, pp. 297-315, 2006.
    • (2006) Numerische Mathematik , vol.104 , pp. 297-315
    • Chun, C.1
  • 4
    • 33644608875 scopus 로고    scopus 로고
    • A method for solving nonlinear equations
    • N. Ujevic, "A method for solving nonlinear equations," Applied Mathematics and Computation, vol. 174, pp. 1416-1426, 2006.
    • (2006) Applied Mathematics and Computation , vol.174 , pp. 1416-1426
    • Ujevic, N.1
  • 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
  • 11
    • 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, pp. 1053-1063, 2002.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , pp. 1053-1063
    • Zhang, Y.1    Jiang, D.2    Wang, J.3
  • 13
    • 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, pp. 1477-1490, 2005.
    • (2005) IEEE Transactions on Neural Networks , vol.16 , pp. 1477-1490
    • Zhang, Y.1    Ge, S.S.2
  • 14
    • 53049107455 scopus 로고    scopus 로고
    • MATLAB simulation and comparison of Zhang neural network and gradient neural network for online time-varying matrix equation AXB-C = 0
    • K. Chen, S. Yue, and Y. Zhang, "MATLAB simulation and comparison of Zhang neural network and gradient neural network for online time-varying matrix equation AXB-C = 0," in Proceedings of International Conference on Intelligent Computing, pp. 68-75, 2008.
    • (2008) Proceedings of International Conference on Intelligent Computing , pp. 68-75
    • Chen, K.1    Yue, S.2    Zhang, Y.3
  • 16
    • 56349097251 scopus 로고    scopus 로고
    • Zhang neural network without using time-derivative information for constant and time-varying matrix inversion
    • Y. Zhang, Z. Chen, K. Chen, and B. Cai, "Zhang neural network without using time-derivative information for constant and time-varying matrix inversion," in Proceedings of International Joint Conference on Neural Networks, pp. 142-146, 2008.
    • (2008) Proceedings of International Joint Conference on Neural Networks , pp. 142-146
    • Zhang, Y.1    Chen, Z.2    Chen, K.3    Cai, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.