Time evolution of the extremely diluted Blume-Emery-Griffiths neural network.
A study of the time evolution and a stability analysis of the phases in the extremely diluted Blume-Emery-Griffiths neural network model are shown to yield new phase diagrams in which fluctuation retrieval may drive pattern retrieval. It is shown that saddle-point solutions associated with fluctuation overlaps slow down the flow of the network states towards the retrieval fixed points. A comparison of the performance with other three-state networks is also presented.
Bollé
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Instituut voor Theoretische Fysica, Katholieke Universiteit Leuven, B-3001 Leuven, Belgium.
Dominguez
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DR
Erichsen
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Korutcheva
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E
Theumann
W K
WK
D055592:Biophysical Phenomena; D001703:Biophysics; D015233:Models, Statistical; D016571:Neural Networks, Computer; D013997:Time Factors