THE INVESTIGATION OF THE SPIN GLASS PROPERTIES OF THE HOPFIELD NEURAL NETWORK MODEL
2005 ◽
Vol 16
(03)
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pp. 427-437
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Keyword(s):
In this work, the Hopfield neural network model with infinite-range interactions is simulated by using the multicanonical algorithm. All simulations and measurements are done in spin glass states of the model with discrete ± 1 values of the random variables. Physical quantities such as the energy density, the ground-state entropy and the order parameters are evaluated at all temperatures. Our results in the spin glass region show multiple degenerate ground-states and good agreement with the replica symmetry mean field solutions.
Keyword(s):
2002 ◽
Vol Volume 1, 2002
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Keyword(s):
2020 ◽
Vol 15
(15)
◽
pp. 176
Keyword(s):
1995 ◽
Vol 10
(3)
◽
pp. 1559-1565
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Keyword(s):