多分类器组合是对决策层的数据进行融合。
The multiple classifiers combination fuses the decision level data.
多分类器组合策略有两类：多分类器融合和多分类器选择。
There are two strategies for multiple classifiers combination: multiple classifiers fusion and multiple classifiers selection.
为改进多分类器系统的性能，提出一个多分类器融合模型，该模型将和规则与多数投票作为特例纳入其体系中。
Aiming at improving the classification performance, a combination model of multiple classifier systems is presented, which takes the Sum rule and majority voting as its special cases.
本文对多分类器融合模式识别的设计方法进行了研究。
This paper studies the design of pattern recognition system based multiple classifiers combination.
分析了多分类器融合算法的理论框架，并采用决策模板算法对蛋白质结构类的预测问题进行了研究。
We investigate the theoretical framework of multiple classifiers fusion, and apply the decision template algorithms to classify the protein secondary structural classes.
针对空战目标识别中机型识别这一问题，提出了基于多分类器融合的识别方法。
Aiming at aircraft type recognition in the field of automatic target recognition, a method based on combining classifiers is proposed.
提出了一种基于子带处理多分类器融合的说话人识别方法。
A method of speaker recognition based on sub-band processing and multi-classifier combination is presented.
本文分析了影响分类器精度的因素，并提出了三种基于在测试例集上分类表现效果的多分类器融合方法。
This paper analyzes the factors affecting the accuracy of classifier, and designs three methods combining multi-classifier based on their performance on test corpus.
为了能够客观描述股指期货委托行为所具有的二重性与实体差异性，本文探索建立了多分类器融合分类模型。
In order to objectively describe duality and entity difference of commission behavior of stock index futures, this article explored and established the multi-classifiers fusion classification model.
实验结果表明，该方法能够用可理解性好的模糊系统实现低错误率的多分类器融合。
The experimental results show that the proposed method can fuse multiple classifiers with low classification error rate based on comprehensible fuzzy systems.
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。
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。
As a nonlinear method, the fuzzy rule-based pattern recognition has good comprehensibility, but has not been applied to the multiple classifier fusion.
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