메뉴 건너뛰기




Volumn 4, Issue 2, 1993, Pages 293-304

Neural Network for Quadratic Optimization with Bound Constraints

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC NETWORK ANALYSIS; OPTIMIZATION; SYSTEM STABILITY;

EID: 0027555144     PISSN: 10459227     EISSN: 19410093     Source Type: Journal    
DOI: 10.1109/72.207617     Document Type: Article
Times cited : (301)

References (23)
  • 1
    • 0025749653 scopus 로고
    • Exponential stability and a systematic synthesis of a neural network for quadratic minimization
    • S. Sudharsanan and M Sundareshan, “Exponential stability and a systematic synthesis of a neural network for quadratic minimization,” Neural Networks, vol. 4, no. 5, pp. 599–613, 1991.
    • (1991) Neural Networks , vol.4 , Issue.5 , pp. 599-613
    • Sudharsanan, S.1    Sundareshan, M.2
  • 2
    • 33845418028 scopus 로고
    • On the solution of large quadratic programming problems with bound constraints
    • J.J. More and G. Toraldo, “On the solution of large quadratic programming problems with bound constraints,” SIAM J. Optimization, vol. 1, no. 1, pp. 93–113, 1991.
    • (1991) SIAM J. Optimization , vol.1 , Issue.1 , pp. 93-113
    • More, J.J.1    Toraldo, G.2
  • 3
    • 0004726463 scopus 로고
    • Error in proof of exponential convergence
    • B. Davis and T. Pattison, “Error in proof of exponential convergence,” Neural Networks, vol. 5, no. 6, p. 869, 1992.
    • (1992) Neural Networks , vol.5 , Issue.6 , pp. 869
    • Davis, B.1    Pattison, T.2
  • 5
    • 0001390008 scopus 로고
    • On learning and energy-entropy in recurrent and nonrecurrent signed networks
    • S. Grossberg, “On learning and energy-entropy in recurrent and nonrecurrent signed networks,” J. Stat. Phys., vol. 1, pp. 319–50, 1969.
    • (1969) J. Stat. Phys. , vol.1 , pp. 319-350
    • Grossberg, S.1
  • 6
    • 0004469897 scopus 로고
    • Neurons with graded response have collective computational properties like those of two-state neurons
    • J.J. Hopfield, “Neurons with graded response have collective computational properties like those of two-state neurons,” in Proc. Nat. Acad. Scl, 1984, vol. 81, pp. 3088–3092.
    • (1984) Proc. Nat. Acad. Scl , vol.81 , pp. 3088-3092
    • Hopfield, J.J.1
  • 7
    • 0021835689 scopus 로고
    • Neural computation of decisions in optimization problems
    • J.J. Hopfield and D.W. Tank, “Neural computation of decisions in optimization problems,” Biol. Cybern., vol. 52, pp. 141–52, 1985.
    • (1985) Biol. Cybern. , vol.52 , pp. 141-152
    • Hopfield, J.J.1    Tank, D.W.2
  • 11
    • 49949129712 scopus 로고
    • Stability theory for ordinary differential equations
    • J. LaSalle, “Stability theory for ordinary differential equations,” J. Differential Equations, vol. 4, pp. 57–65, 1968.
    • (1968) J. Differential Equations , vol.4 , pp. 57-65
    • LaSalle, J.1
  • 13
    • 0022721216 scopus 로고
    • Simple “neural” optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit
    • D.W. Tank and J.J. Hopfield, “Simple “neural” optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit,” IEEE Trans. Circuits Syst., vol. CAS-33, pp. 533–41, 1986.
    • (1986) IEEE Trans. Circuits Syst. , vol.33 CAS , pp. 533-541
    • Tank, D.W.1    Hopfield, J.J.2
  • 14
    • 0024016062 scopus 로고
    • Neural networks for linear and nonlinear programming
    • M. Kennedy and L. Chua, “Neural networks for linear and nonlinear programming,” IEEE Trans. Circuits Syst., vol. 35, pp. 554–62, 1988.
    • (1988) IEEE Trans. Circuits Syst. , vol.35 , pp. 554-562
    • Kennedy, M.1    Chua, L.2
  • 15
    • 0001292204 scopus 로고
    • Improved neural networks for linear and nonlinear programming
    • J. Chen, M.A. Shanblatt, and C.-Y. Maa, “Improved neural networks for linear and nonlinear programming,” Int. J. Neural Syst., vol. 2, no. 4, pp. 331–339, 1992.
    • (1992) Int. J. Neural Syst. , vol.2 , Issue.4 , pp. 331-339
    • Chen, J.1    Shanblatt, M.A.2    Maa, C.Y.3
  • 17
    • 0001973090 scopus 로고
    • Optimal preconditioners of a given sparsity pattern
    • A. Greenbaum and G. Rodrigue, “Optimal preconditioners of a given sparsity pattern,” BIT, vol. 29, pp. 610–34, 1989.
    • (1989) BIT , vol.29 , pp. 610-634
    • Greenbaum, A.1    Rodrigue, G.2
  • 18
    • 0026436957 scopus 로고
    • Relaxation network for Gabor image decomposition
    • T.R. Pattison, “Relaxation network for Gabor image decomposition,” Biol. Cybern., vol. 67, no. 1, pp. 97–102, 1992.
    • (1992) Biol. Cybern. , vol.67 , Issue.1 , pp. 97-102
    • Pattison, T.R.1
  • 19
    • 0025491788 scopus 로고
    • Weight adjustment rule of neural networks computing discrete 2D Gabor transforms
    • H. Yan and J.C. Gore, “Weight adjustment rule of neural networks computing discrete 2D Gabor transforms,” IEEE Trans. Acoust. Speech, Signal Processing, vol. 38, pp. 1654–6, 1990.
    • (1990) IEEE Trans. Acoust. Speech, Signal Processing , vol.38 , pp. 1654-1656
    • Yan, H.1    Gore, J.C.2
  • 20
    • 0000293183 scopus 로고
    • Theory of communication
    • D. Gabor, “Theory of communication,” J. Inst. Electrical Engineers, vol. 93, pp. 429–57, 1946.
    • (1946) J. Inst. Electrical Engineers , vol.93 , pp. 429-457
    • Gabor, D.1
  • 21
    • 0018925643 scopus 로고
    • Two-dimensional spectral analysis of cortical receptive field profiles
    • J.G. Daugman, “Two-dimensional spectral analysis of cortical receptive field profiles,” Vision Research, vol. 20, pp. 847–56, 1980.
    • (1980) Vision Research , vol.20 , pp. 847-856
    • Daugman, J.G.1
  • 22
    • 0022098435 scopus 로고
    • Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters
    • J.G. Daugman, “Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters,” J. Opt. Soc. Amer. A, vol. 2, no. 7, pp. 1160–1169, 1985.
    • (1985) J. Opt. Soc. Amer. A , vol.2 , Issue.7 , pp. 1160-1169
    • Daugman, J.G.1
  • 23
    • 0023604532 scopus 로고
    • The two-dimensional spatial structure of simple receptive fields in cat striate cortex
    • J.P. Jones and L.A. Palmer, “The two-dimensional spatial structure of simple receptive fields in cat striate cortex,” J. Neurophys., vol. 58, no. 6, pp. 1187–1211, 1987.
    • (1987) J. Neurophys. , vol.58 , Issue.6 , pp. 1187-1211
    • Jones, J.P.1    Palmer, L.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.