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Volumn 5, Issue 2, 1997, Pages 121-125

Increasing Attraction of Pseudo-Inverse Autoassociative Networks

Author keywords

Attraction radius; Pseudo inverse learning rule; Self connections

Indexed keywords

ASSOCIATIVE STORAGE; COMPUTER SIMULATION; LEARNING SYSTEMS;

EID: 0031124064     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (12)

References (6)
  • 1
    • 0001326868 scopus 로고
    • Collective computational properties of neural networks: New learning mechanisms
    • L. Personnaz, I. Guyon and G. Dreyfus, "Collective computational properties of neural networks: new learning mechanisms", Physical Review A, Vol. 34, pp. 4217-4228, 1986.
    • (1986) Physical Review A , vol.34 , pp. 4217-4228
    • Personnaz, L.1    Guyon, I.2    Dreyfus, G.3
  • 2
    • 0343179264 scopus 로고    scopus 로고
    • A way to improve error correction capability of Hopfield associative memory in the case of saturation
    • VU University Press, Amsterdam
    • D.O. Gorodnichy, "A way to improve error correction capability of Hopfield associative memory in the case of saturation", HELNET 94-95 International Workshop on Neural Networks Proceedings, Vol. I/II, pp. 198-212, VU University Press, Amsterdam, 1996.
    • (1996) HELNET 94-95 International Workshop on Neural Networks Proceedings , vol.1-2 , pp. 198-212
    • Gorodnichy, D.O.1
  • 5
    • 0000172378 scopus 로고
    • Associative recall of memory without errors
    • I. Kanter and H. Sampolinsky, "Associative recall of memory without errors", Physical Review A, Vol. 35, pp. 380-392, 1987.
    • (1987) Physical Review A , vol.35 , pp. 380-392
    • Kanter, I.1    Sampolinsky, H.2
  • 6
    • 0006521147 scopus 로고
    • Attraction radii in binary Hopfield nets are hard to compute
    • P. Floreen and P. Orponen, "Attraction radii in binary Hopfield nets are hard to compute", Neural Computation, Vol. 5, pp. 812-821, 1993.
    • (1993) Neural Computation , vol.5 , pp. 812-821
    • Floreen, P.1    Orponen, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.