...移补偿；分类器集成；动态加权 [gap=1021]Keywords: MEMS Gas Sensor; Sensor Array; Drift Compensation; Classifier Ensemble; Dynamic Weights ...
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Based on the theoretical results of classifier ensemble, a selective ensemble algorithm is developed based on a strategy of forward greedy selection and post-pruning. The experiments show the proposed algorithm can get a compact and effective classification system.
基于选择性多分类器集成的研究成果,本文提出有选择地集成部分约简训练的分类器构造多分类器系统,并且设计了前向贪心选择和后剪枝的分类器选择策略,试验表明该方法能够获得相对紧凑并且分类能力很强的多分类器系统。
参考来源 - 混合数据知识发现的粗糙计算模型和算法After that we combined the 3 single classifiers and test the ensemble’s classification performance. We found that the multi-classifier ensemble got an enhanced classification performance.
应用分类器组合,组合这三种分类器,进行分类效果的测试,发现组合后的分类器提高了分类效果。
参考来源 - 中医舌苔厚薄的纹理分析·2,447,543篇论文数据，部分数据来源于NoteExpress
After comprehending and analyzing the various classifiers and integration of multi-classifiers, a new method of multi-classifier ensemble is presented in this paper.
本文在理解和分析各种分类器以及分类器集成方法的基础上提出了一种新的多分类器集成的方法。
Furthermore, compared with the general Bayesian classifier ensemble, PEBNC requires less space because there is no need to save parameters of individual classifiers.
此外，与一般的贝叶斯集成分类器相比，PEBNC不必存储成员分类器的参数，空间复杂度大大降低。
For this object, a method of determining fuzzy integral density with membership matrix is proposed, and the classifier ensemble algorithm based on fuzzy integral is introduced.
给出了基于隶属度矩阵的模糊积分密度确定方法，介绍了基于模糊积分的分类器集成算法。
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