Institute of Information Theories and Applications FOI ITHEA
In this paper a new double-wavelet neuron architecture obtained by modification of standard wavelet
neuron, and its learning algorithm are proposed. The offered architecture allows to improve the approximation
properties of wavelet neuron. Double-wavelet neuron and its learning algorithm are examined for forecasting non-stationary chaotic time series.