光滑支持向量分类机概述

Overview of Smooth Support Vector Machine

支持向量分类机是一种新的分类方法,因其优越性得到了深入的研究和广泛的应用,光滑支持向量分类机是支持向量分类机的一种快速求解模型.对光滑支持向量分类机进行了研究,包括原理的概述、光滑函数的讨论、训练算法的介绍、应用的总速,研究前景的分析和展望.

Support Vector Classifier is a new method of classification, which has been researched thoroughly and applied widely for its advantages. The Smooth Support Vector Classifier is a prompt solution model for the Support Vector Classifier. In this paper we study the Smooth Support Vector Classifier, including the summarization of theory, the discussion of smooth functions, the introduction of training algorithms, the presentation of application and the analysis and overview of the research prospect.