支持向量机分类器结构简单、可获得全局最优、泛化能力强。
SVM has good characteristics of simple structure, global optimum and strong generalization ability.
使用多个支撑矢量机分类器构成一个多类分类器用于多类信号的调制识别。
Several SVM classifiers are used to make a multi-classes classifier for modulation identification.
支持向量机分类器克服了当前常用的模式识别方法的缺点,有效提高了识别率。
Support vector machine classifier overcome the shortcoming of the present and commonly used pattern-recognition methods, and has improved the recognition rate effectively.
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