Scalar wavelet networks for time series prediction

To predict the water level of river runoff more accurately, the ARIMA-SVR combined model based on wavelet analysis is proposed for the hydrological time series prediction. On the basis of wavelet decomposition, the combined model combines the advantages ...

To improve the performance of the model of wavelet-neural network for complex time series, a novel multi-factor prediction model is proposed, which inherits the advantage of previous wavelet-neural network and makes full use of the characteristics of ...