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Mean-Field Theory of Randomly Frustrated Systems with Finite Connectivity

✍ Scribed by Mézard, M; Parisi, G


Book ID
121274612
Publisher
EDP Sciences
Year
1987
Tongue
English
Weight
587 KB
Volume
3
Category
Article
ISSN
0295-5075

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A recent dynamic mean-ÿeld theory for sequence processing in fully connected neural networks of Hopÿeld-type is extended and analyzed here for a symmetrically diluted network with ÿnite connectivity near saturation. Equations for the dynamics and the stationary states are obtained for the macroscopi