Institute of Information Theories and Applications FOI ITHEA
In this paper an outliers resistant learning algorithm for the radial-basis-fuzzy-wavelet-neural network
based on R. Welsh criterion is proposed. Suggested learning algorithm under consideration allows the signals
processing in presence of significant noise level and outliers. The robust learning algorithm efficiency is
investigated and confirmed by the number of experiments including medical applications.