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- A decision-making model and a numerical approach of partner selection were proposed based on multiple classifier fusion rules. 应用多分类器融合规则,建立了供应链伙伴选择的决策模型和方法。
- As a nonlinear method, the fuzzy rule-based pattern recognition has good comprehensibility, but has not been applied to the multiple classifier fusion. 而基于模糊规则的模式识别方法是一类可理解性好的非线性方法,但迄今为止还没有被应用于多分类器融合问题中。
- This thesis tries to apply new techniques of multiple classifier fusion to the area of identification of the marrow cells, and make efforts to meliora. 因此,本课题将模式识别领域中新发展起来的多分类器融合技术应用到骨髓细胞的分类识别中,并在融合理论的改善上作了一些探索性的研究。
- Nonlinear methods perform well in the multiple classifier fusion.However, the nonlinear methods used for the multiple classifier fusion have poor comprehensibility. 用非线性方法解决多分类器融合问题能够取得比较高的识别率, 但是,当前被应用在多分类器融合领域中的非线性方法可理解性较差,给使用者带来一定的困难。
- Multiple Classifiers Fusion Algorithm with the Fuzzy Measures Determined by Genetic Algorithm 用遗传算法实现模糊测度赋值的一种多分类器融合算法
- multiple classifiers fusion 多分类器融合
- multiple classifier fusion 多分类器融合
- fusion theory of the multiple classifiers 多分类器融合
- Multiple classifiers ensemble is an effective method to solve complex classification problems in pattern recognition field. 多分类器组合是解决复杂模式识别问题的有效办法。
- A method of dynamic ensemble of multiple classifiers based on information entropy(EMDA) is proposed in the paper,in order to improve the classification performance of dataset. 摘要 为提高数据分类的性能,提出了一种基于信息熵[1]的多分类器动态组合方法(EMDA)。
- A geometrically inspired measurement of uncertain is proposed in this paper, and this measurement is considered when combining multiple classifiers using D-S evidence theory. 本文从几何角度出发,提出了分类器结果的不确定性测量方法,在利用D-S方法合成多个分类器的输出时,将这些不确定性信息也融入计算之中。
- Fusion of Multiple Classifiers for Intrusion Detection 入侵检测系统中的多分类器融合技术
- An example illustrates the rationality of the method and the validity of classified fusion. 实例分析说明了这种数据分类方法的合理性和分类融合的有效性。
- The paperintroduces meta decision trees (MDT), a novel method for combining multiple classifiers, describes MDT , meta attribute, and the combiningframework of combining classifiers with MDT. 该本文介绍了用元决策树(MDT)融合多个分类器的新方法,阐释了MDT、元属性以及用MDT组合多个分类器的stacking框架。
- In addition, both the multiple classifiers using the rms (root mean squared) distance weighting and the average distance weighting outperform that of using the variance reduction technique. 结果显示整体分类精度有大幅度的提升,而三种方案中均方根距离法与平均距离法皆优于变异减低法。
- Three different weighting policies (variance reduction technique, rms distance weighting, and average distance weighting) applied to the multiple classifiers approach are introduced. 多分类器系统中的必要手段为不同资料来源的权重分配;
- Then two above recognition model are fused at decisional level, the model and method of cutting tool state recognition based on classifier fusion is proposed. 再对上述两种识别模型进行决策层融合研究,提出了基于分类器融合的刀具状态识别模型和方法。
- Its application to numeral recognition shows that the presented voting principle makes the combination of multiple classifiers achieve good performance for high recognition rate and high reliability. 在数字识别系统中的实验结果表明,该方法使多分类器组合的识别率和置信度明显提高。
- Fusion of Multiple Classifiers for Face Recognition and Person Authentication 多分类器融合的人脸识别与身份认证
- Americans are the fusion of many different races. 美国人是各种种族人的熔合体。