摘要
支持向量机(Support Vector Machine,SVM)是一种新型有效的机器学习方法,能为研究者将支持向量机进一步应用到降水预报提供一定的参考.通过阐述支持向量机模型及其在降水中的应用现状,指出其理论的优缺点、适用性和未来发展方向.
Support vector machine is a new effective machine learning method.This paper summarizes the support vector machine model and its application in rainfall forecasting,and finally points out the applicability and the future development direction,the advantages and disadvantages of the theory in order to provide some references for the further support vector machine application in rainfall forecasting.
作者
罗芳琼
LUO Fangqiong(School of Mathematics & Computer Science, Guangxi Science & Technology Normal University, Laibin,Guangxi 546199, China)
出处
《广西科技师范学院学报》
2017年第2期113-116,共4页
Journal of Guangxi Science & Technology Normal University
基金
2014年来宾科学研究与技术开发计划项目"基于支持向量机的暴雨预测方法研究"
关键词
支持向量机
降水预报
统计学习
Support Vector Machine
rainfall forecasting
statistical learning