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Volumn 38, Issue 9, 1991, Pages 1099-1103

A Neural Network to Design Neural Networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SYSTEMS, DIGITAL - REAL TIME OPERATION; DATA STORAGE, DIGITAL - ASSOCIATIVE; LEARNING SYSTEMS; PATTERN RECOGNITION; SYSTEM STABILITY - LYAPUNOV METHODS;

EID: 0026221684     PISSN: 00984094     EISSN: None     Source Type: Journal    
DOI: 10.1109/31.83884     Document Type: Article
Times cited : (17)

References (15)
  • 1
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    • Simple ‘neural’ optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit
    • May
    • 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. 533–541, May 1986.
    • (1986) IEEE Trans. Circuits Syst. , vol.CAS-33 , pp. 533-541
    • Tank, D.W.1    Hopfield, J.J.2
  • 2
    • 0023293755 scopus 로고
    • Unifying the Tank and Hopfield linear programming circuit and the canonical nonlinear programming circuit of Chua and Lin
    • Feb.
    • M.P. Kennedy and L.O. Chua, “Unifying the Tank and Hopfield linear programming circuit and the canonical nonlinear programming circuit of Chua and Lin,” IEEE Trans. Circuits Syst., vol. CAS-34, pp. 210–214, Feb. 1987.
    • (1987) IEEE Trans. Circuits Syst. , vol.CAS-34 , pp. 210-214
    • Kennedy, M.P.1    Chua, L.O.2
  • 3
    • 0023847221 scopus 로고
    • On the stability, storage capacity and design of nonlinear continuous neural networks
    • Jan./Feb.
    • A. Guez, V. Protopopsecu, and J. Barhen, “On the stability, storage capacity and design of nonlinear continuous neural networks,” IEEE Trans. Syst. Man, Cybem., vol. SMC-18, pp. 80–86, Jan./Feb. 1988.
    • (1988) IEEE Trans. Syst. Man, Cybem. , vol.SMC-18 , pp. 80-86
    • Guez, A.1    Protopopsecu, V.2    Barhen, J.3
  • 4
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • J.J. Hopfield, “Neural networks and physical systems with emergent collective computational abilities,” in Proc. Nat. Acad. Sci., vol. 79, pp. 2554–2558, 1982.
    • (1982) Proc. Nat. Acad. Sci. , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 6
    • 84942841446 scopus 로고    scopus 로고
    • Of points and loops
    • R. Eckmiller and C.v.d. Malsburg, Ed. New York: Springer-Verlag, 1989
    • L. Personnaz, I. Guyon, and G. Dreyfus, “Of points and loops,” in Neural Computers, R. Eckmiller and C.v.d. Malsburg, Ed. New York: Springer-Verlag, 1989
    • Neural Computers
    • Personnaz, L.1    Guyon, I.2    Dreyfus, G.3
  • 7
    • 0001326868 scopus 로고
    • Collective computational properties of neural networks: New learning mechanisms
    • Nov.
    • L. Personnaz, “Collective computational properties of neural networks: New learning mechanisms,” Phys. Rev. A, vol. 34, pp. 4217–4228, Nov. 1986.
    • (1986) Phys. Rev. A , vol.34 , pp. 4217-4228
    • Personnaz, L.1
  • 8
    • 0024959406 scopus 로고
    • Neural network capacity using delta rule
    • Feb.
    • D.L. Prados and S.C. Kak, “Neural network capacity using delta rule,” Electronics Lett., vol. 25, pp. 197–199, Feb. 1989.
    • (1989) Electronics Lett. , vol.25 , pp. 197-199
    • Prados, D.L.1    Kak, S.C.2
  • 9
    • 84939321282 scopus 로고
    • Analysis and synthesis of a class of neural networks: variable structure systems with infinite gain
    • May
    • J. Li, A.N. Michel, and W. Porod, “Analysis and synthesis of a class of neural networks: variable structure systems with infinite gain,” IEEE Trans. Circuits Syst., vol. CAS-36, pp. 713–731, May 1989.
    • (1989) IEEE Trans. Circuits Syst. , vol.CAS-36 , pp. 713-731
    • Li, J.1    Michel, A.N.2    Porod, W.3
  • 10
    • 0023997701 scopus 로고
    • Capacity of a neural network
    • Apr.
    • D.L. Prados, “Capacity of a neural network,” Electronics Lett., vol. 24, pp. 454–455, Apr. 1988.
    • (1988) Electronics Lett. , vol.24 , pp. 454-455
    • Prados, D.L.1
  • 11
    • 0023672497 scopus 로고
    • Stability and attractivity in associative memory networks
    • M. Cottrell, “Stability and attractivity in associative memory networks,” Bio. Cynbern., vol. 58, pp. 129–139, 1988.
    • (1988) Bio. Cynbern. , vol.58 , pp. 129-139
    • Cottrell, M.1
  • 12
    • 0023566091 scopus 로고
    • Circuit theoretic solutions for neural networks: an old approach to a new problem
    • vol. II
    • M.P. Kennedy and L.O. Chua, “Circuit theoretic solutions for neural networks: an old approach to a new problem,” in Proc. 1st IEEE Conf. Neural Networks, vol. II, pp. 169–176, 1987.
    • (1987) Proc. 1st IEEE Conf. Neural Networks , pp. 169-176
    • Kennedy, M.P.1    Chua, L.O.2
  • 13
  • 14
    • 34250866688 scopus 로고
    • A neural net approach to discrete Hartley and Fourier transforms
    • May
    • A.D. Culhane, M.C. Peckerar, and C.R.K. Marrian, “A neural net approach to discrete Hartley and Fourier transforms,” IEEE Trans. Circuits Syst., vol. CAS-36, pp. 695–703, May 1989.
    • (1989) IEEE Trans. Circuits Syst. , vol.CAS-36 , pp. 695-703
    • Culhane, A.D.1    Peckerar, M.C.2    Marrian, C.R.K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.