计算机工程2009，Vol.35Issue(22)：212-215,4.
改进的在线支持向量机训练算法
Improved Online Training Algorithm of Support Vector Machine
潘以桢 1胡越明1
作者信息
- 1. 上海交通大学计算机科学与工程系,上海,200240
- 折叠
摘要
Abstract
Traditional Support Vector Machine(SVM), which based on batch training, can't satisfy the real-time requirement of environmental pollution prediction with large scale data. With the analysis of a typical kind of online support vector regression algorithm, this paper indicates that repeated sample move exists in the training process would lead to decrease the training speed, and proposes an improved algorithm. Simulation and analysis results show that the proposed algorithm performs high modeling precision, and training speed is increased remarkably compared with the aforementioned algorithm.关键词
污染预测/支持向量机/在线学习/增量式学习Key words
pollution prediction/Support Vector Machine(SVM)/online learning/incremental learning分类
信息技术与安全科学引用本文复制引用
潘以桢,胡越明..改进的在线支持向量机训练算法[J].计算机工程,2009,35(22):212-215,4.
