Abstract
The performance characteristics of four different associative memory models are examined. The models differ in the training algorithm employed, although all four employ algorithms that are iterative, and use local information. They are classified using the method of Abbott [1], their attractor performance is examined, and the time taken to train them is measured.
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References
L.F. Abbott, “Learning in Neural Network Memories” Network: Comp. Neural Sys. vol.1, pp. 105–122, 1990
DJ. Amit, Modelling brainfunction: the world of attractor neural networks. Cambridge, UK: Cambridge University Press, 1989
S.Diederich and M.Opper, “Learning of Correlated Patterns in Spin-Glass Networks by Local Learning Rules” Physical Review Letters vol.58, pp.949–952, 1987
N. Davey R.G. Adams S.P. Hunt, “High performance associative memory models and symmetriC connections”, Proceedings of ISA 2000, to be published December 2000
W. Krauth M. Mezard, “Learning algorithms with optimal stability for neural networks” J. Phys. vol.A20, pp.L745–L752, 1987
M.G. Blatt E. G. Vergini (1991). “Neural Networks: A Local Learning Prescription for Arbitrary Correlated Patterns”, Physical Review Letters, vol.66, pp.1793–1797
L. Personnaz I. Guyon G. Dreyfus, “Collective Computational Properties of Neural Networks: New Learning Mechanisms” Physical Review A vol.34, pp.4217–4228, 1986
E. Gardner, “The space of interactions in neural network models” Journal of Physics vol.A21, pp.257–270, 1988
I. Kanter H. Sompolinsky, “Associative Recall of Memory without Errors”, Physical Review A vol.35,pp.380–392, 1987
N. Davey S.P. Hunt, “The Capacity and Attractor Basins of Associative Memory Models”, Proceedings ofIWANN99,1999
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© 2001 Springer-Verlag Wien
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Turvey, S.P., Hunt, S.P., Davey, N., Frank, R.J. (2001). An Experimental Assessment of the Performance of Several Associative Memory Models. In: Kůrková, V., Neruda, R., Kárný, M., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6230-9_16
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DOI: https://doi.org/10.1007/978-3-7091-6230-9_16
Publisher Name: Springer, Vienna
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