Multi-sigmoidal units and neural networks
نویسنده
چکیده
منابع مشابه
Noisy Spiking Neurons with Temporal Coding have more Computational Power than Sigmoidal Neurons
We exhibit a novel way of simulating sigmoidal neural nets by networks of noisy spiking neurons in temporal coding. Furthermore it is shown that networks of noisy spiking neurons with temporal coding have a strictly larger computational power than sigmoidal neural nets with the same number of units.
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