Derives the asymptotic ratio of storage capacities between real-constrained and complex pre-activations in complex neural networks using Gardner volumes and the HCIZ formula.
Perceptron capacity revisited: classification ability for correlated patterns.Journal of Physics A: Mathematical and Theoretical, 41(32):324013, 2008
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Shortcomings and capacities of real-constrained neural networks in complex spaces
Derives the asymptotic ratio of storage capacities between real-constrained and complex pre-activations in complex neural networks using Gardner volumes and the HCIZ formula.