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- W2383670887 abstract "To improve the performances of dynamic system identification,a new method to formulate scaling kernel function for support vector machine was proposed.In the method,a compact support scaling function is derived first,and then based on wavelet multiresolution analysis a scaling kernel function with multiresolution characteristics is constructed from the compact support scaling function.It was proved that this scaling kernel function satisfies Mercer conditions and can be used as a kernel function for support vector machine.Simulation results show that the support vector machine with the proposed scaling kernel function has better modeling and approximation abilities than that with a Spline function kernel or RBF(radial basis function) kernel." @default.
- W2383670887 created "2016-06-24" @default.
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- W2383670887 date "2006-01-01" @default.
- W2383670887 modified "2023-09-23" @default.
- W2383670887 title "Support Vector Machine with Scaling Kernel and Its Application in Dynamic System Identification" @default.
- W2383670887 hasPublicationYear "2006" @default.
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