For improving the performance of multiple classifier system, a novel method of ensemble feature selection is proposed based on generalized rough set.
为改善多分类器系统的分类性能，提出了基于广义粗集的集成特征选择方法。
The techniques of mis-recognition model and multiple classifier combination are proposed and used in the system.
在车牌字符识别中引入了误识模型和多分类器集成技术。
Integration of multiple classifier machine learning system is currently a hot research field.
多分类器集成系统是当前机器学习领域的一个研究热点。
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