Chaotic time series forecasting based on Cdf9/7 biorthogonal wavelet kernel support vector machine. Abstract: As biorthogonal wavelets have many advantages ...
The predictions of chaotic time series by applying the least squares support vector machine (LS-SVM), with comparison with the traditional-SVM and-SVM, ...
Chaotic time series forecasting based on Cdf9/7 biorthogonal wavelet kernel support vector machine · Computer Science, Mathematics. 2011 Seventh International ...
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Chaotic time series forecasting based on Cdf9/7 biorthogonal wavelet kernel support vector machine · Small and multi-peak nonlinear time series forecasting using ...
A hybrid-forecasting model based ... Further, Cdf9/7 biorthogonal wavelet kernel support vector machine(SVM) ... vector machine(SVM); kernel function; chaotic time ...
The objective was to use a series of signal processing analytical methods to build a set of identification models used to forecast malfunction. Wavelet packet ...
Chaotic time series forecasting based on Cdf9/7 biorthogonal wavelet kernel support vector machineChao Huang, Lili Huang, Weijun Zhong. 348-352 [doi] ...
Chaotic time series forecasting based on Cdf9/7 biorthogonal wavelet kernel support vector machine ... time series models with random time ...
Financial time series forecasting is a hot research topic in the field of finance and it is of great significance to the study of finance market.
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In this paper a tool system with wavelet support vector machine (WSVM) under dimension reduction for face recognition is proposed.