科研之友
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摘要
We show that for asymmetric neural networks the symmetric degree eta of the synaptic coupling can be related to the two main network parameters, the storage capacity alpha and another designing parameter kappa by the formula eta = alpha kappa(2). Such a relation has been well verified by the simulations of our neural network designing. The formula suggests that we cannot improve the network performances by tuning the parameters alpha and kappa simultaneously. The result may provide useful information for optimizing the designing of asymmetric neural networks.
