A new method of infrared spectrum analysis based on support vector machine for mixture gas was proposed.

介绍了一种基于支持向量机的混合气体红外光谱组分浓度和种类分析的新方法。

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Presents an efficient method of fabric defect classification based on cluster analysis and support vector machine (SVM).

提出一种基于聚类分析和支持向量机(SVM)的布匹瑕疵分类方法。

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By using probability analysis and the method of vector Markov process, reliability indexes are obtained, the optimal diagnostic policies are studied.

利用概率分析和向量马尔科夫过程方法，求得了系统的可靠性指标并研究了最优诊断策略。

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