determine whether they are covariance stationary The estimated partial autocorrelation of a covariance stationary time series can be used to identify the design sequence length in a plain recurrent neural network.
An augmented Dickey–Fuller test can be applied to time series to determine whether they are covariance stationary The estimated partial autocorrelation of a covariance stationary time series can be used to identify the design sequence length in a plain recurrent neural network. Plain recurrent neural networks are guaranteed to be stable, namely lagged unit impulses … Read more