Abstract: 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.

Keywords: computational intelligence, hybrid architecture, wavelet, fuzzy-wavelet neural network, robust learning algorithm, outliers resistant.

ACM Classification Keywords: I.2.6 Learning – Connectionism and neural nets.

Link:

OUTLIERS RESISTANT LEARNING ALGORITHM FOR RADIAL-BASIS-FUZZY-WAVELET-NEURAL NETWORK IN STOMACH ACUTE INJURY DIAGNOSIS TASKS

Yevgeniy Bodyanskiy, Oleksandr Pavlov, Olena Vynokurova

http://www.foibg.com/ibs_isc/ibs-02/IBS-02-p07.pdf