A temporal convolutional network is shown to be structurally equivalent to Volterra series and parallel Wiener models, and it performs competitively on nonlinear system identification benchmarks.
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,
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Deep Convolutional Networks in System Identification
A temporal convolutional network is shown to be structurally equivalent to Volterra series and parallel Wiener models, and it performs competitively on nonlinear system identification benchmarks.