支持向量机是一种基于统计学习理论的机器学习算法,有很强的数学理论依据,目前在人工智能领域已成为研究热点。该文全面介绍了支持向量机的理论基础,分析了在大数据环境下,支持向量机并行化算法,最后指出了支持向量机的研究方向与发展前景。 SVM is a kind of machine learning algorithm based on statistical learning theory. It has a strong mathematical theory basis, and now it has become a research hotspot in the field of artificial intelligence. This paper introduces the theoretical basis of support vector machine comprehensively, analyzes parallel algorithm of support vector machine in big data environment, and finally points out the research direction and development prospect of support vector machine.