A Precise Characterization of the Class of Languages Recognized by Neural Nets under Gaussian and Other Common Noise Distributions

Maass, Wolfgang, Sontag, Eduardo D.

Neural Information Processing Systems 

We consider recurrent analog neural nets where each gate is subject to Gaussian noise, or any other common noise distribution whose probability densityfunction is nonzero on a large set.

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