Stochastic Resonance Enables BPP/log* Complexity and Universal Approximation in Analog Recurrent Neural Networks

Emmett Redd, Arthur Steven Younger, Tayo Obafemi-Ajayi. Stochastic Resonance Enables BPP/log* Complexity and Universal Approximation in Analog Recurrent Neural Networks. In International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019. pages 1-8, IEEE, 2019. [doi]

Abstract

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