东南大学学报（自然科学版）2011，Vol.41Issue(z1)：14-17,4.DOI:10.3969/j.issn.1001-0505.2011.S1.004
一种多核加权支持向量机的水质预测方法
Novel method for water quality prediction based on multi-kernel weighted support vector machine
梁雪春 1龚艳冰 2肖迪1
作者信息
- 1. 南京工业大学自动化与电气工程学院,南京210009
- 2. 河海大学商学院,常州213022
- 折叠
摘要
Abstract
In this paper, a new method based on multi-kernel learning support vector machine to solve the water quality prediction is presented. The kernel function and its preferences are correlated with the data distribution, so it is difficult to get satisfactory prediction result when using single kernel function. SVM( support vector machine) algorithm with multiple kernel function weighted can a-void the blindness of framework designs for kernel function and the problem of nonlinear optimizations, such as local optimization. An analysis result shows a reasonable evaluation result, which is more objective and simpler in calculation when compared with other similar evaluation methods.关键词
多核学习/支持向量机/水质预测Key words
multi-kernel learning/ support vector machine/ water quality prediction分类
交通工程引用本文复制引用
梁雪春,龚艳冰,肖迪..一种多核加权支持向量机的水质预测方法[J].东南大学学报（自然科学版）,2011,41(z1):14-17,4.
