메뉴 건너뛰기




Volumn 201, Issue 1-2, 2008, Pages 340-350

A feedback neural network for solving convex constraint optimization problems

Author keywords

Convergence; Convex programming; Feedback neural networks; Stability

Indexed keywords

COMPUTER SIMULATION; CONSTRAINT THEORY; LAGRANGE MULTIPLIERS; PARAMETER ESTIMATION; PROBLEM SOLVING;

EID: 44649095710     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2007.12.029     Document Type: Article
Times cited : (63)

References (29)
  • 1
    • 0022721216 scopus 로고
    • Simple 'neural' optimization network:an A/D converter, signal decision circuit and a linear programming circuit
    • Tank D.W., and Hopfield J.J. Simple 'neural' optimization network:an A/D converter, signal decision circuit and a linear programming circuit. IEEE Trans. Circuits Syst. 33 (1986) 533-541
    • (1986) IEEE Trans. Circuits Syst. , vol.33 , pp. 533-541
    • Tank, D.W.1    Hopfield, J.J.2
  • 2
  • 6
    • 17944387843 scopus 로고    scopus 로고
    • A dual neural network for convex quadratic programming subject to linear equality and inequality constraints
    • Zhang Y., and Wang J. A dual neural network for convex quadratic programming subject to linear equality and inequality constraints. Phys. Lett. A 298 (2002) 271-278
    • (2002) Phys. Lett. A , vol.298 , pp. 271-278
    • Zhang, Y.1    Wang, J.2
  • 7
    • 0035903532 scopus 로고    scopus 로고
    • A high performance neural network for solving nonlinear programming problems with hybrid constraints
    • Tao Q., Cao J., Xue M., and Qiao H. A high performance neural network for solving nonlinear programming problems with hybrid constraints. Phys. Lett. A 288 (2001) 88-94
    • (2001) Phys. Lett. A , vol.288 , pp. 88-94
    • Tao, Q.1    Cao, J.2    Xue, M.3    Qiao, H.4
  • 8
    • 0347817670 scopus 로고    scopus 로고
    • A simple and high performance neural network for quadratic programming problems
    • Tao Q., Cao J., and Sun D. A simple and high performance neural network for quadratic programming problems. Appl. Math. Comput. 124 (2001) 251-260
    • (2001) Appl. Math. Comput. , vol.124 , pp. 251-260
    • Tao, Q.1    Cao, J.2    Sun, D.3
  • 9
    • 4143078142 scopus 로고    scopus 로고
    • A recurrent neural networks with exponential convergence for solving convex quadratic program and related linear piecewise equations
    • Xia Y., Feng G., and Wang J. A recurrent neural networks with exponential convergence for solving convex quadratic program and related linear piecewise equations. Neural Networks 17 (2004) 1003-1015
    • (2004) Neural Networks , vol.17 , pp. 1003-1015
    • Xia, Y.1    Feng, G.2    Wang, J.3
  • 10
    • 15344350315 scopus 로고    scopus 로고
    • A recurrent neural network for solving nonlinear convex programs subject to linear constraints
    • Xia Y., and Wang J. A recurrent neural network for solving nonlinear convex programs subject to linear constraints. IEEE Trans. Neural Networks 16 (2005) 379-386
    • (2005) IEEE Trans. Neural Networks , vol.16 , pp. 379-386
    • Xia, Y.1    Wang, J.2
  • 11
    • 31144468248 scopus 로고    scopus 로고
    • Neural network models and its application for solving linear and quadratic programming problems
    • Effati S., and Nazemi A.R. Neural network models and its application for solving linear and quadratic programming problems. Appl. Math. Comput. 172 (2006) 305-331
    • (2006) Appl. Math. Comput. , vol.172 , pp. 305-331
    • Effati, S.1    Nazemi, A.R.2
  • 13
    • 0035506769 scopus 로고    scopus 로고
    • A recurrent neural networks for nonlinear continuously differentiable optimization over a compact convex subset
    • Liang X. A recurrent neural networks for nonlinear continuously differentiable optimization over a compact convex subset. IEEE Trans. Neural Networks 12 (2001) 1487-1490
    • (2001) IEEE Trans. Neural Networks , vol.12 , pp. 1487-1490
    • Liang, X.1
  • 14
    • 0033233946 scopus 로고    scopus 로고
    • A neural network methodology and strategy of quadratic optimisation
    • Wu A., and Tam P.K.S. A neural network methodology and strategy of quadratic optimisation. Neural Comput. Appl. 8 (1999) 283-289
    • (1999) Neural Comput. Appl. , vol.8 , pp. 283-289
    • Wu, A.1    Tam, P.K.S.2
  • 16
    • 0036539447 scopus 로고    scopus 로고
    • A projection neural network and its application to constrained optimization problems
    • Xia Y., Leung H., and Wang J. A projection neural network and its application to constrained optimization problems. IEEE Trans. Circuits Syst. - I 49 (2002) 447-458
    • (2002) IEEE Trans. Circuits Syst. - I , vol.49 , pp. 447-458
    • Xia, Y.1    Leung, H.2    Wang, J.3
  • 17
    • 3843138428 scopus 로고    scopus 로고
    • A recurrent neural networks for nonlinear convex optimization subject to nonlinear inequality constraints
    • Xia Y., and Wang J. A recurrent neural networks for nonlinear convex optimization subject to nonlinear inequality constraints. IEEE Trans. Circuits Syst. - I 51 (2004) 1385-1394
    • (2004) IEEE Trans. Circuits Syst. - I , vol.51 , pp. 1385-1394
    • Xia, Y.1    Wang, J.2
  • 18
    • 15844413527 scopus 로고    scopus 로고
    • A improved neural network for convex quadratic optimization with application to real-time beamforming
    • Xia Y., and Feng G. A improved neural network for convex quadratic optimization with application to real-time beamforming. Neurocomputing 64 (2005) 359-374
    • (2005) Neurocomputing , vol.64 , pp. 359-374
    • Xia, Y.1    Feng, G.2
  • 19
    • 2542589347 scopus 로고    scopus 로고
    • A novel neural network for nonlinear convex programming
    • Gao X.B. A novel neural network for nonlinear convex programming. IEEE Trans. Neural Networks 15 (2004) 613-621
    • (2004) IEEE Trans. Neural Networks , vol.15 , pp. 613-621
    • Gao, X.B.1
  • 20
    • 0742268988 scopus 로고    scopus 로고
    • A high-performance feedback neural network for solving convex nonlinear programming problems
    • Leung Y., and Gao X.B. A high-performance feedback neural network for solving convex nonlinear programming problems. IEEE Trans. Neural Networks 14 (2003) 1469-1477
    • (2003) IEEE Trans. Neural Networks , vol.14 , pp. 1469-1477
    • Leung, Y.1    Gao, X.B.2
  • 21
    • 0028549244 scopus 로고
    • Day-to day dynamic network disequilibria and idealized traveler information system
    • Friesz T.L., Bernstein D.H., Mehta N.J., Tobin R.L., and Ganjlizadeh S. Day-to day dynamic network disequilibria and idealized traveler information system. Oper. Res. 42 (1994) 1120-1136
    • (1994) Oper. Res. , vol.42 , pp. 1120-1136
    • Friesz, T.L.1    Bernstein, D.H.2    Mehta, N.J.3    Tobin, R.L.4    Ganjlizadeh, S.5
  • 22
    • 0033163920 scopus 로고    scopus 로고
    • On the stability of globally projected dynamical systems
    • Xia Y., and Wang J. On the stability of globally projected dynamical systems. J. Opt. Theory Appl. 106 (2000) 129-150
    • (2000) J. Opt. Theory Appl. , vol.106 , pp. 129-150
    • Xia, Y.1    Wang, J.2
  • 23
    • 23044474397 scopus 로고    scopus 로고
    • A delayed neural network for solving linear projection equations and its analysis
    • Liu Q., Cao J., and Xia Y. A delayed neural network for solving linear projection equations and its analysis. IEEE Trans. Neural Networks 16 (2005) 834-843
    • (2005) IEEE Trans. Neural Networks , vol.16 , pp. 834-843
    • Liu, Q.1    Cao, J.2    Xia, Y.3
  • 24
    • 0036824087 scopus 로고    scopus 로고
    • A neural network for solving nonlinear programming problem
    • Chen K.Z., Leung Y., Leung K.S., and Gao X.B. A neural network for solving nonlinear programming problem. Neural Comput. Appl. 11 (2002) 103-111
    • (2002) Neural Comput. Appl. , vol.11 , pp. 103-111
    • Chen, K.Z.1    Leung, Y.2    Leung, K.S.3    Gao, X.B.4
  • 26
    • 33847175540 scopus 로고    scopus 로고
    • Y. Huang, Lagrange-type neural networks for nonlinear programming problems with inequality constraints, in: Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005, pp. 4129-4133.
    • Y. Huang, Lagrange-type neural networks for nonlinear programming problems with inequality constraints, in: Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005, pp. 4129-4133.
  • 27
    • 26044433362 scopus 로고    scopus 로고
    • A new nonlinear neural network for solving convex nonlinear programming problems
    • Effati S., and Baymani M. A new nonlinear neural network for solving convex nonlinear programming problems. Appl. Math. Comput. 168 (2005) 1370-1379
    • (2005) Appl. Math. Comput. , vol.168 , pp. 1370-1379
    • Effati, S.1    Baymani, M.2
  • 28
    • 0030085605 scopus 로고    scopus 로고
    • Dynamic system, variational inequalities, and control theoretic models for predicting time-varying urban network flows
    • Friesz T.L., Bernstein D.H., and stough R. Dynamic system, variational inequalities, and control theoretic models for predicting time-varying urban network flows. Transport. Sci. 30 (1996) 14-31
    • (1996) Transport. Sci. , vol.30 , pp. 14-31
    • Friesz, T.L.1    Bernstein, D.H.2    stough, R.3
  • 29
    • 4243369592 scopus 로고    scopus 로고
    • Shanghai scientific and technical publishers, Shanghai (in Chinese)
    • Hu Y., and Meng Z. Convex Analysis and Nonsmooth Analysis (2000), Shanghai scientific and technical publishers, Shanghai (in Chinese)
    • (2000) Convex Analysis and Nonsmooth Analysis
    • Hu, Y.1    Meng, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.