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Article cité :
J.F. Fontanari , W.K. Theumann
J. Phys. France, 51 5 (1990) 375-386
Citations de cet article :
14 articles
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Storage and Learning Phase Transitions in the Random-Features Hopfield Model
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Neural network under external stimulus: Improving storage capacity and reactions
Evaldo M.F. Curado, Nilo B. Melgar and Fernando D. Nobre Physica A: Statistical Mechanics and its Applications 564 125507 (2021) https://doi.org/10.1016/j.physa.2020.125507
External Stimuli on Neural Networks: Analytical and Numerical Approaches
Evaldo M. F. Curado, Nilo B. Melgar and Fernando D. Nobre Entropy 23 (8) 1034 (2021) https://doi.org/10.3390/e23081034
On the free energy of the hopfield model
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Generalization in a multi-state neural network
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Mixture states and storage of biased patterns in the Hopfield model: A replica-symmetry-breaking solution
D. Bollé and J. Huyghebaert Physical Review E 51 (1) 732 (1995) https://doi.org/10.1103/PhysRevE.51.732
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Mixture states and storage of biased patterns in Potts-glass neural networks
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Associative memory for patterns with different bias
H Englisch and M Herrmann Network: Computation in Neural Systems 4 (2) 223 (1993) https://doi.org/10.1088/0954-898X_4_2_005
Associative memory for patterns with different bias
H Englisch and M Herrmann Network: Computation in Neural Systems 4 (2) 223 (1993) https://doi.org/10.1088/0954-898X/4/2/005
Generalization in a Hopfield network
J.F. Fontanari Journal de Physique 51 (21) 2421 (1990) https://doi.org/10.1051/jphys:0199000510210242100