支持向量机技术及应用

基于统计学习理论的支持向量机是一种新型的机器学习方法。本文介绍了统计学习理论和支持向量机的原理,对一系列的训练算法进行了探讨和比较。由于SVM具有良好的泛化能力和全局最优性能,已经被应用于模式识别和回归估计等领域,有着良好的应用前景。

Support Vector Machine Technique and Its Application

Support vector machine (SVM) based on statistical learning theory is a kind of novel machine learning methods. In this paper, statistical learning theory and the principle of SVM are introduced in detail. A series of training algorithms are discussed and compared. SVM has been applied to many fields such as pattern recognition, regression due to good generalization ability and globally optimal performance. It has good prospect.