支持向量机  

Support Vector Machine

作　　者：张浩然[1] 韩正之[1] 李昌刚[1] 

机构地区：[1]上海交通大学自动化系,上海200030

出　　处：《计算机科学》2002年第12期135-137,142,共4页Computer Science

摘　　要：This paper gives a introduction of the basic ideas, basic theory, key techniques, and application of the sup-port vector machine (SVM), and indicates the similarities and differences between support vector machines and neuralnetworks.This paper gives a introduction of the basic ideas, basic theory, key techniques, and application of the support vector machine (SVM), and indicates the similarities and differences between support vector machines and neural networks.

关 键 词：支持向量机 机器学习 人工智能 多层感知器 人工神经网络 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]