为此提出了一种微生物发酵的故障诊断新方法，即两个关联向量机分别作为观测器和分类器。

Here a new method for fault diagnosis of microbiological fermentation sensor was provided, i. e. two relevance vector machines were used as observer and classifier respectively.

youdao

将关联向量机应用于高光谱影像分类， 实现高维空间中训练样本不足时分类器的精确建模。

The relevance vector machine (RVM) is used to process the hyperspectral image in this paper to estimate the classifiers precisely in the high dimensional space with limited training samples.

youdao

首先采用双支持向量机（SVM）的方法将实时应力信息与机内测试诊断结果相互关联。

A support vector machine (SVM) model is used to correlate the false alarm of BIT to time stress information.

youdao