| 一种多核加权支持向量机的水质预测方法 |
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| 引用本文： | 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. |
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| 作者姓名： | 梁雪春 龚艳冰 肖迪 |
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| 作者单位： | 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 |
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| 摘 要： | 提出一种基于多核加权支持向量机的水质预测方法.核函数及其参数选择与数据分布的情况密切相关,采用单一的核函数应对水资源质量评价指标的整个数据分布难以达到很好的预测结果.采用多核加权学习的核函数避免了核函数设计的盲目性和局部最优等非线性优化问题.实例表明,该方法的预测结果是合理可行的,且与以往同类预测方法相比,有着更为客观...
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| 关 键 词： | 多核学习 支持向量机 水质预测 |
Novel method for water quality prediction based on multi-kernel weighted support vector machine |
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| Liang Xuechun,Gong Yanbing,Xiao Di.Novel method for water quality prediction based on multi-kernel weighted support vector machine[J].Journal of Southeast University(Natural Science Edition),2011,41(Z1):14-17. |
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| Authors: | Liang Xuechun Gong Yanbing Xiao Di |
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| Institution: | Liang Xuechun1 Gong Yanbing2 Xiao Di 1 (1College of Automation and Electrical Engineering,Nanjing University of Technology,Nanjing 210009,China) (2School of Business,Hohai University,Changzhou 213022,China) |
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| 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 avoid the blindness of framework designs for kernel function and the problem of nonlinear optimizations,such as local optimiza... |
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| Keywords: | multi-kernel learning support vector machine water quality prediction |
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