Modeling and forecasting of time series based wavelets
Yao En-yin · Microcomputer Information · 2009
This paper presents wavelet method and ARMA model for time series forecasting.Acco-Rding to the wavelet demoising and wavelet decomposition,the hidden period and the nonstationarity existed in time series are extracted and separated by wavelet transformation.the characteristic of wavelet decomposition series is applied to Elman networks and an autoregressive moving average model. Finally,wavelet reconstruction is used to realize time series forecasting.It shows that the proposed method can provide more accurate results.