To solve the problem, an improved SVM algorithm, DFP-PSVM, is presented in this paper.

为解决此问题，本文提出了一种改进的支持向量机算法——DF P - PS VM算法。

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This paper proposes a weighted C-SVM algorithm and analyzes its classification performance theoretically.

提出了一种加权C—SVM分类算法，并从理论上分析了算法的性能。

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Time series modeling and identification techniques were analyzed and the ARMA time series model based on robust LS-SVM algorithm was proposed.

对时序数据建模与辨识技术进行了分析，提出了使用鲁棒LS-SVM算法建立ARMA时序预测模型。

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