Thermodynamic properties of extremely diluted symmetric Q-Ising neural networks
نویسندگان
چکیده
Using the replica-symmetric mean-field theory approach the thermodynamic and retrieval properties of extremely diluted symmetric Q-Ising neural networks are studied. In particular, capacity-gain parameter and capacity-temperature phase diagrams are derived for Q = 3, 4 and Q = ∞. The zero-temperature results are compared with those obtained from a study of the dynamics of the model. Furthermore, the de Almeida-Thouless line is determined. Where appropriate, the difference with other Q-Ising architectures is outlined. PACS numbers: 64.60Cn; 75.10Hk; 87.10+e § Also at Interdisciplinair Centrum voor Neurale Netwerken, K.U.Leuven, Belgium e-mail: [email protected], [email protected], [email protected] Thermodynamic properties of extremely diluted symmetric Q-Ising neural networks 2
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