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Stochastic Resonance Enables BPP/log* Complexity and Universal Approximation in Analog Recurrent Neural Networks.
Emmett Redd
Arthur Steven Younger
Tayo Obafemi-Ajayi
Published in:
IJCNN (2019)
Keyphrases
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recurrent neural networks
neural network
echo state networks
stochastic resonance
feed forward
recurrent networks
artificial neural networks
cascade correlation
neural model
machine learning
bit rate
signal to noise ratio
reservoir computing
high quality
computational complexity
maximum likelihood