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Volume 14 Number 3 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/693

Title: Double-Wavelet Neuron Based on Analytical Activation Functions
Authors: Bodyanskiy, Yevgeniy
Lamonova, Nataliya
Vynokurova, Olena
Keywords: Wavelet
Double-Wavelet Neuron
Recurrent Learning Algorithm
Forecasting
Emulation
Analytical Activation Function
Issue Date: 2007
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: 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.
URI: http://hdl.handle.net/10525/693
ISSN: 1313-0463
Appears in Collections:Volume 14 Number 3

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