Abstract: The mathematical component of modern signal processing increasingly requires the use of approximation theory methods to obtain the necessary information from the investigated signal. The ...
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Abstract: In this brief, we investigate the approximation theory (AT) of Bayesian recurrent neural network (BRNN) for stochastic time series forecasting (TSF) from a probabilistic standpoint. Due to ...
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