Abstract
Using a probabilistic approach, the parallel dynamics of theQ-state Potts andQ-Ising neural networks are studied at zero and at nonzero temperatures. Evolution equations are derived for the first time step and arbitraryQ. These formulas constitute recursion relations for the exact parallel dynamics of the extremely diluted asymmetric versions of these networks. An explicit analysis, including dynamical capacity-temperature diagrams and the temperature dependence of the overlap, is carried out forQ=3. Both types of models are compared.
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On leave of absence from the Laboratory of Theoretical Physics, Joint Institute for Nuclear Research, Dubna 141980, Russia.
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Bollé, D., Vinck, B. & Zagrebnov, V.A. On the parallel dynamics of theQ-state Potts andQ-Ising neural networks. J Stat Phys 70, 1099–1119 (1993). https://doi.org/10.1007/BF01049424
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DOI: https://doi.org/10.1007/BF01049424