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The performance of Fixed-Size least squares support vector machines (FS-SVM) has been illustrates on the large-scale modeling problem. This paper presents an adaptive RBF kernel based FS-SVM and an on-line adaptation algorithm for time-varying nonlinear systems. The key feature of this algorithm method is the direct approach used for formulating the training target. Based on the feature of RBF kernel,...
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