Support vector machine is a learning technique based on the structural risk minimization principle as well as a new regression method with good generalization ability.
支持向量机是一种基于结构风险最小化原理的学习技术，也是一种新的具有很好泛化性能的回归方法。
SVM can solve small sample problems and has good generalization ability using the principles of structural risk minimization.
支持向量机基于结构风险最小化原则，解决了小样本数据分类和泛化问题。
The experimental results show that the whole target identification system has a relatively simple structure and good generalization ability.
实验结果表明，整个目标识别系统的结构简单，同时具有较好的推广能力。
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