Comparative analysis of the multi-wavelet network model possibilities for forecasting problems
A comparison of the possibilities of four models for predicting time series is presented: the ARIMA model, the ANN (artificial neural network), the Zhang’s hybrid model (combining the ARIMA model and the ANN) and the multi-wavelet polymorphic network. Using the examples of short-term forecasts of time-series known in statistics, it is shown that the multi-wavelet polymorphic neural network model provides higher accuracy of forecasts.