Essential wavelets for statistical applications and data analysis
Essential wavelets for statistical applications and data analysis
Wavelet filtering for prediction in time series analysis
WAMUS'10 Proceedings of the 10th WSEAS international conference on Wavelet analysis and multirate systems
Unification of neural and wavelet networks and fuzzy systems
IEEE Transactions on Neural Networks
Bayesian wavelet networks for nonparametric regression
IEEE Transactions on Neural Networks
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In this paper I describe an evolutionary wavelet network to optimize the filtering of a statistical time series into separate contributions. The wavelet base is regarded as a neural network where the network nodes are discrete wavelet transforms, the wavelon, and the network structure and parameters are selected through evolutionary techniques. With this combined approach I can separate stochastic from structural components within an optimized framework and finally I can perform optimized predictive analysis on the time series components.