A lower bound for the memory capacity in the Potts-Hopfield model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mathematical Physics,Statistical and Nonlinear Physics
Link
http://link.springer.com/content/pdf/10.1007/BF01054440.pdf
Reference7 articles.
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2. C. M. Newman, Memory capacity in neural networks models: Rigorous lower bounds,Neural Networks 1:223?238 (1988).
3. D. J. Amit, H. Gutfreund, and H. Sompolinsky, Spin-glass models of neural networks,Phys. Rev. A 32:1007?1018 (1985); Storing infinite numbers of patterns in a spin-glass model of neural networks,Phys. Rev. Lett. 55:1530?1533 (1985).
4. R. J. McEliece, E. C. Posner, and E. R. Rodemich, and S. S. Venkateshe, The capacity of the Hopfield associative memory,IEEE Trans. Inf. Theory 33:461?182 (1987).
5. G. Weisbuch and F. Fogelman-Souli�, Scaling laws for the attractors of Hopfield networks,J. Phys. Lett. (Paris)46:L-623?L-630 (1985).
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