Compared with Bayesian classification model, experimental results show SANBC has higher accuracy.

实验结果表明,与朴素贝叶斯分类模型相比,SANBC分类模型具有较高的分类正确率.

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An expert based probability classification model is employed to investigate generic power quality disturbances.

提出了电能质量扰动的专家概率分类器模型,用于常见电能质量扰动的分类.

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The classification model of papermaking plant fibrous material was established by using principal component analysis.

运用主成分分析法构造了常用造纸植物纤维原料分类的模型,并将该方法应用于实例检验.

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