## Application of a Scaling Kernel in Signal Approximation of Least Squares Support Vector Machines

- MU Xiangyang, ZHANG Taiyi, ZHOU Yatong
- Journal of XIâ€™AN Jiaotong University
- 2008

Highly Influential

- Published 2010 in 2010 International Conference on Mechanicâ€¦

In order to overcome the problem that the least square support vector machines (LS-SVM) using Gaussian kernel cannot approximate arbitrary signal with multi-scale, a scaling ker-nel for LS-SVM is proposed. LS-SVM can be used simultaneously to approximate to the target function and improve the effectiveness of generalization and approximation in the localâ€¦Â CONTINUE READING

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