Pattern Recognition Performance Evaluation 模式识别与性能评估 ; 模式识别绩效评估 ; 模式识别绩效评价
SVM has been applied to many fields such as pattern recognition, data mining, modeling and control of nonlinear system due to good generalization ability and globally optimal performance.
SVM由于其良好的泛化能力和全局最优性能，在模式识别、数据挖掘、非线性系统建模和控制等领域中展现出广泛的应用前景。
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。
In addition, the method of fuzzy pattern recognition was approached which made the performance evaluation of relay and its design to be realized.
同时，探讨了模糊模型的识别方法，从而实现了对继电器产品及其设计方案的性能评价。
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