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Volumn 1, Issue 2, 1990, Pages 204-215

A Theoretical Investigation into the Performance of the Hopfield Model

Author keywords

[No Author keywords available]

Indexed keywords

DATA STORAGE, DIGITAL--ASSOCIATIVE; MATHEMATICAL PROGRAMMING, LINEAR; MATHEMATICAL TECHNIQUES--EIGENVALUES AND EIGENFUNCTIONS;

EID: 0025445490     PISSN: 10459227     EISSN: 19410093     Source Type: Journal    
DOI: 10.1109/72.80232     Document Type: Article
Times cited : (298)

References (17)
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  • 2
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    • 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,” Proc. Nat. Acad. Sci. U.S., vol. 81, pp. 3088-3092, 1984.
    • (1984) Proc. Nat. Acad. Sci. U.S. , vol.81 , pp. 3088-3092
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  • 3
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    • Neural computation of decisions in optimization problems
    • J. J. Hopfield and D. W. Tank, “Neural computation of decisions in optimization problems,” Biolog. Cybern., vol. 52, pp. 1-25, 1985.
    • (1985) Biolog. Cybern. , vol.52 , pp. 1-25
    • Hopfield, J.J.1    Tank, D.W.2
  • 5
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    • Linear and logarithmic capacities in associative neural networks
    • S. S. Venkatesh and D. Psaltis, “Linear and logarithmic capacities in associative neural networks,” IEEE Trans. Inform. Theory, vol. IT-35, no. 3, pp. 558-568, 1989.
    • (1989) IEEE Trans. Inform. Theory , vol.IT-35 , Issue.3 , pp. 558-568
    • Venkatesh, S.S.1    Psaltis, D.2
  • 6
    • 0024705063 scopus 로고
    • On the capacity of associative memories with linear threshold functions
    • A. Dembo, “On the capacity of associative memories with linear threshold functions,” IEEE Trans. Inform. Theory, vol. IT-35, no. 4, pp. 709-720, 1989.
    • (1989) IEEE Trans. Inform. Theory , vol.IT-35 , Issue.4 , pp. 709-720
    • Dembo, A.1
  • 7
    • 84941475255 scopus 로고
    • Comparison between sparsely distributed memory and Hopfield-type neural network models
    • Univ. of California, San Diego, CA, B-019.
    • J. D. Keeler, “Comparison between sparsely distributed memory and Hopfield-type neural network models,” Phys. Dep. and Institute for Nonlinear Sci., Univ. of California, San Diego, CA, B-019, 1986.
    • (1986) Phys. Dep. and Institute for Nonlinear Sci.
    • Keeler, J.D.1
  • 9
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    • Theories on the Hopfield neural networks
    • S. Abe, “Theories on the Hopfield neural networks,” in Proc. IJCNN 89, vol. I, 1989, pp. 557-564.
    • (1989) Proc. IJCNN 89 , vol.I , pp. 557-564
    • Abe, S.1
  • 10
    • 84941486183 scopus 로고
    • Programming a massively parallel, computation universal system: static behavior
    • A. Lapedes and R. Farber, “Programming a massively parallel, computation universal system: static behavior,” Amer. Inst. Phys., 1986.
    • (1986) Amer. Inst. Phys.
    • Lapedes, A.1    Farber, R.2
  • 11
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    • Information capacity of the Hopfield model
    • Y. S. Abu-Mustafa and J. St. Jacques, “Information capacity of the Hopfield model,” IEEE Trans. Inform. Theory, vol. IT-31, pp. 461-464, 1985.
    • (1985) IEEE Trans. Inform. Theory , vol.IT-31 , pp. 461-464
    • Abu-Mustafa, Y.S.1    Jacques, J.S.2
  • 12
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    • On the stability of the TSP problem algorithm of Hopfield and Tank
    • V. Wilson and G. S. Pawley, “On the stability of the TSP problem algorithm of Hopfield and Tank,” Biolog. Cybern., vol. 58, pp. 63-70, 1988.
    • (1988) Biolog. Cybern. , vol.58 , pp. 63-70
    • Wilson, V.1    Pawley, G.S.2
  • 13
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    • Traveling salesman heuristics and embedding dimension in the Hopfield model
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    • Kahng, A.1
  • 14
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    • Van den Bout, D.E.1    Miller, T.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.