Representation of nonlinear random transformations by non-gaussian stochastic neural networks
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The learning capability of neural networks is equivalent to modeling physical events that occur in the real environment. Several early works have demonstrated that neural networks belonging to some classes are universal approximators of input-output determinis... ...
