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.
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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.