The agents use classifier systems to choose appropriate rules.
经济主体应用分类器系统来选择正确的行为规则。
Since multiple classifier systems(MCS) can improve the performance of classification, the technique has been widely used in various fields of pattern recognition.
多分类器组合方法可以在一定程度上弥补单个分类器的不足，提高分类性能，因此，它在模式识别领域得到广泛的应用。
Since multiple classifier systems can to some extent improve the performance of classification, the technique has been widely used in various fields of pattern recognition.
多分类器系统能够在一定程度上弥补单个分类器的缺陷，因此它在模式识别中得到了广泛的应用。
The experiments on UCI Machine Learning Repository prove that, compared to existing measures, EPD shows stronger ability in predicting the performance of multiple classifier systems.
对UCI机器学习数据库的实验证明，相对于其它方法，EPD方法对多分类器系统性能的预测能力更强。
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.
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。
Classifier networks are becoming the basis of machine vision systems.
分类器网络正成为机器视觉系统的基础。
The classifier design is a key step for pattern recognition systems.
分类器设计是模式识别系统中的关键步骤之一。
This function link network is further trained using the parameter values of selected rotor systems, and the classifier network is formed.
利用所选定的旋转系统的参数值进一步训练该函数链的神经网络，从而构成分类网络。
The classifier design is a key step for pattern recognition systems, which can effect performance of system.
分类器设计是模式识别系统中的关键步骤之一，它直接影响到系统的分类能力。
Artificial Immune Network Memory Classifier(AINMC)and Artificial Immune Recognition System(AIRS)are two kinds of classifier based on artificial immune systems.
人工免疫网络记忆分类器和人工免疫识别系统是两种人工免疫分类方法。
Experimental results show that the designed classifier has many advantages of high training speed, short test time and high classification accuracy on fault diagnosis for rotor systems online.
将该方法应用于转子系统在线故障诊断中，结果表明，所设计的算法具有训练速度快、测试时间短、分类准确率高等特点。
Experimental results show that the designed classifier has many advantages of high training speed, short test time and high classification accuracy on fault diagnosis for rotor systems online.
将该方法应用于转子系统在线故障诊断中，结果表明，所设计的算法具有训练速度快、测试时间短、分类准确率高等特点。
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