中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Monthly Streamflow Forecasting Using ELM-IPSO Based on Phase Space Reconstruction

文献类型:期刊论文

作者Jiang, Yan; Bao, Xin; Hao, Shaonan; Zhao, Hongtao; Li, Xuyong; Wu, Xianing
刊名WATER RESOURCES MANAGEMENT
出版日期2020-09
卷号34期号:11页码:3515-3531
ISSN号0920-4741
关键词Streamflow prediction Chaohe River basin Chaotic dynamic characteristics Phase space reconstruction Extreme learning machine Improved particle swarm optimization algorithm
英文摘要We have developed a hybrid model that integrates chaos theory and an extreme learning machine with optimal parameters selected using an improved particle swarm optimization (ELM-IPSO) for monthly runoff analysis and prediction. Monthly streamflow data covering a period of 55 years from Daiying hydrological station in the Chaohe River basin in northern China were used for the study. The Lyapunov exponent, the correlation dimension method, and the nonlinear prediction method were used to characterize the streamflow data. With the time series of the reconstructed phase space matrix as input variables, an improved particle swarm optimization was used to improve the performance of the extreme learning machine. Finally, the optimal chaotic ensemble learning model for monthly streamflow prediction was obtained. The accuracy of the predictions of the streamflow series (linear correlation coefficient of about 0.89 and efficiency coefficient of about 0.78) indicate the validity of our approach for predicting streamflow dynamics. The developed method had a higher prediction accuracy compared with an auto-regression method, an artificial neural network, an extreme learning machine with genetic algorithm and with PSO algorithm, suggesting that ELM-IPSO is an efficient method for monthly streamflow prediction.
源URL[http://ir.rcees.ac.cn/handle/311016/44390]  
专题生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式
GB/T 7714
Jiang, Yan,Bao, Xin,Hao, Shaonan,et al. Monthly Streamflow Forecasting Using ELM-IPSO Based on Phase Space Reconstruction[J]. WATER RESOURCES MANAGEMENT,2020,34(11):3515-3531.
APA Jiang, Yan,Bao, Xin,Hao, Shaonan,Zhao, Hongtao,Li, Xuyong,&Wu, Xianing.(2020).Monthly Streamflow Forecasting Using ELM-IPSO Based on Phase Space Reconstruction.WATER RESOURCES MANAGEMENT,34(11),3515-3531.
MLA Jiang, Yan,et al."Monthly Streamflow Forecasting Using ELM-IPSO Based on Phase Space Reconstruction".WATER RESOURCES MANAGEMENT 34.11(2020):3515-3531.

入库方式: OAI收割

来源:生态环境研究中心

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