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Diluted neural networks with binary couplings: a replica symmetry breaking calculation of the storage capacity

机译:具有二进制联轴器的稀释神经网络:存储容量的复制对称性分布计算

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We perform a one-stage Relica Symmetry Breaking calculation of the storage capacity of the annealed-dilution network with binary couplings and show that a Replica Symmetry calculation with the additional condition that the entropy vanishes at T=O gives the same result. This generalizes a result previously obtained by Krauth and Mezard for the non-diluted case.
机译:我们使用二进制耦合执行退火稀释网络的存储容量的一阶段相关性对称计算,并显示复制对称计算,其中熵在T = O处消失的附加条件提供相同的结果。这概括了以前由Krauth和Mezard获得的结果用于非稀释案例。

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