Parallel dynamics of the asymmetric extremely diluted Ashkin-Teller neural network
Instituut voor Theoretische Fysica, KU Leuven, 3001 Leuven, Belgium
Published online: 15 August 2000
The parallel dynamics of the asymmetric extremely diluted Ashkin-Teller neural network is studied using signal-to-noise analysis techniques. Evolution equations for the order parameters are derived, both at zero and finite temperature. The retrieval properties of the network are discussed in terms of the four-spin coupling strength and the temperature. It is shown that the presence of a four-spin coupling enhances the retrieval quality.
PACS: 64.60.Cn – Order-disorder transformations; statistical mechanics of model systems / 75.10.Hk – Classical spin models / 87.10.+e – General, theoretical and mathematical biophysics / 02.50.-r – Probability theory, stochastic processes, and statistics
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag, 2000