Sensor fusion and classifier selection were put into the system,and this method was much better than one-single signal and no classifier .
本文还将传感器融合和分类器选择融入系统,同单源数据和无分类器选择相比具有更大的优势,使最终电机状态识别率达到98。
The goal of classifier selection is to select a subset of classifiers from a given set of candidate classifiers,to achieve the best combination performance.
分类器选择是一种设计多分类器系统的有效方法,从给定候选分类器集中挑选出一个子集,使得该子集集成性能最佳。
The experiment results show that the approach is superior to the one based on static classifier selection.
实验表明,该方法的性能优于基于静态分类器选择的网络入侵检测方法。
