Algorithm Research & Explore
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2599-2603

Runoff forecasting based on hybrid optimized SVR using PSO-SA

Jiang Linli1
Li Jie1
Wu Jiansheng1,2
1. Dept. of Mathematics & Computer Science, Guangxi Science & Technology Teachers College, Laibin Guangxi 546199, China
2. School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China

Abstract

In order to effectively improve the accuracy of runoff forecasting, this paper proposed an effective hybrid optimization strategy which was based on the combination of particle swarm optimization and simulated annealing algorithm, and it also optimized the type of kernel function and the kernel parameter setting of support vector regression to establish an effective hybrid optimization support vector regression runoff forecasting model. The proposed method provided an effective way for the choice of kernel functions and parameter optimization. By analyzing the examples of Guangxi Liujiang's River runoff and with pure support vector regression model comparison, the results of the study show that the model is stable in prediction and it has high generalization performance and accuracy of prediction, and it can provide an effective prediction method for runoff forecast.

Foundation Support

国家科技部中小企业创新基金项目(13C26214504766)
广西科技厅面上基金资助项目(2014GXNSFAA118027)
2017年广西高校中青年教师基础能力提升项目(2017KY0896)
广西教育厅高校科研项目(YB2014467)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0148
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 9
Section: Algorithm Research & Explore
Pages: 2599-2603
Serial Number: 1001-3695(2019)09-009-2599-05

Publish History

[2019-09-05] Printed Article

Cite This Article

蒋林利, 李洁, 吴建生. 利用PSO-SA混合优化支持向量回归的径流预报模型研究 [J]. 计算机应用研究, 2019, 36 (9): 2599-2603. (Jiang Linli, Li Jie, Wu Jiansheng. Runoff forecasting based on hybrid optimized SVR using PSO-SA [J]. Application Research of Computers, 2019, 36 (9): 2599-2603. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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