An adaptive learning algorithm for a wavelet neural network |
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| Authors: | Yevgeniy Bodyanskiy Nataliya Lamonova Iryna Pliss Olena Vynokurova |
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| Affiliation: | Kharkiv National University of Radio Electronics, Control Systems Research Laboratory, 14 Lenina Avenue, Kharkiv 61166, Ukraine ; Kharkiv National University of Radio Electronics, Control Systems Research Laboratory, 14 Lenina Avenue, Kharkiv 61166, Ukraine ; Kharkiv National University of Radio Electronics, Control Systems Research Laboratory, 14 Lenina Avenue, Kharkiv 61166, Ukraine ; Kharkiv National University of Radio Electronics, Control Systems Research Laboratory, 14 Lenina Avenue, Kharkiv 61166, Ukraine |
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| Abstract: | Abstract: An optimal online learning algorithm of a wavelet neural network is proposed. The algorithm provides not only the tuning of synaptic weights in real time, but also the tuning of dilation and translation factors of daughter wavelets. The algorithm has both tracking and smoothing properties, so the wavelet networks trained with this algorithm can be efficiently used for prediction, filtering, compression and classification of various non-stationary noisy signals. |
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| Keywords: | prediction emulation non-stationary noisy signals hybrid wavelet neural network online learning algorithm |
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