Stability and Relaxation Time of Tank and Hopfield's Neural Network for Solving LSE Problems

IEEE Transactions on Circuits and Systems

Volumn 38, Issue 9, 1991, Pages 1108-1110

  Yan, Hong ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL PROGRAMMING, LINEAR; MATHEMATICAL TECHNIQUES - EIGENVALUES AND EIGENFUNCTIONS; MATHEMATICAL TECHNIQUES - STATE SPACE METHODS; MATHEMATICAL TRANSFORMATIONS; SYSTEM STABILITY;

DISCRETE FOURIER TRANSFORMS; DISCRETE HARTLEY TRANSFORMS; LINEAR PROGRAMMING NEURAL NETWORK; LSE PROBLEMS; NEURAL NETWORK RELAXATION TIME;

NEURAL NETWORKS;

EID: 0026219563     PISSN: 00984094     EISSN: None     Source Type: Journal    
DOI: 10.1109/31.83886     Document Type: Article

References (10)

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2. A.D. Culhane, M.C. Peckerar, and C.R.K. Marrian, “A neural network approach to discrete Hartley and Fourier transforms,” IEEE Trans. Circuits Syst., vol. CAS-36, pp. 695–703, May 1989.
3. L.O. Chua and G.N. Lin, “Nonlinear optimization with constraints: A cook-book approach,” Int. Circuit Theory and Applications, vol. 11, pp. 141–159, 1983.
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7. G.N. Lin and L.O. Chua, “Nonlinear programming without computation,” IEEE Trans. Circuits Syst., vol. CAS-31, pp. 182–188, Feb. 1984.
8. G. Wilson, “Quadratic programming analogs,” IEEE Trans. Circuits Syst., vol. CAS-33, pp. 907–911, Mar. 1988.
9. S.V.B. Aiyer, M. Niranjan, and F. Fallside, “A theoretical investigation into the performance of the Hopfield model,” IEEE Trans. Neural Networks, vol. 1, pp. 204–214, June 1990.
10. T. Kailath, Linear Systems. Englewood Cliffs, NJ: Prentice-Hall, 1980.