An incremental learning algorithm using multiple support vector machines (SVMs) is proposed.

给出了使用多支持向量机进行增量学习的算法。

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Based on decision tree combined strategy and multiple kernel learning support vector machines, a new fault diagnosis method is proposed to improve the precision and speed of fighter fault diagnosis.

为了提高歼击机故障诊断的准确性与实时性，提出一种基于决策树型组合策略的多重核学习支持向量机诊断方法。

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