Daily and Monthly Suspended Sediment Load Predictions Using Wavelet Based Artificial Intelligence Approaches
文献类型:期刊论文
作者 | Vahid NOURANI ; Gholamreza ANDALIB |
刊名 | Journal of Mountain Science
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出版日期 | 2015-01 |
卷号 | 12期号:1页码:85-100 |
关键词 | Suspended Sediment Load Least Square Support Vector Machine (LSSVM) Wavelet Artificial Neural Network (ANN) Mississippi River |
通讯作者 | Vahid NOURANI |
英文摘要 | In the current study, the efficiency of Wavelet-based Least Square Support Vector Machine (WLSSVM) model was examined for prediction of daily and monthly Suspended Sediment Load (SSL) of the Mississippi River. For this purpose, in the first step, SSL was predicted via ad hoc LSSVM and Artificial Neural Network (ANN) models; then, streamflow and SSL data were decomposed into sub-signals via wavelet, and these decomposed sub-time series were imposed to LSSVM and ANN to simulate discharge-SSL relationship. Finally, the ability of WLSSVM was compared with other models in multi-step-ahead SSL predictions. The results showed that in daily SSL prediction, LSSVM has better outcomes with Determination Coefficient (DC)=0.92 than ad hoc ANN with DC=0.88. However unlike daily SSL, in monthly modeling, ANN has a bit accurate upshot. WLSSVM and wavelet-based ANN (WANN) models showed same consequences in daily and different in monthly SSL predictions, and adding wavelet led to more accuracy of LSSVM and ANN. Furthermore, conjunction of wavelet to LSSVM and ANN evaluated via multi-step-ahead SSL predictions and, e.g., DCLSSVM=0.4 was increased to the DCWLSSVM=0.71 in 7-day ahead SSL prediction. In addition, WLSSVM outperformed WANN by increment of time horizon prediction. |
收录类别 | SCI |
公开日期 | 2015-01-16 |
源URL | [http://ir.imde.ac.cn/handle/131551/7694] ![]() |
专题 | 成都山地灾害与环境研究所_Journal of Mountain Science _Journal of Mountain Science-2015_Vol12 No.1 |
推荐引用方式 GB/T 7714 | Vahid NOURANI,Gholamreza ANDALIB. Daily and Monthly Suspended Sediment Load Predictions Using Wavelet Based Artificial Intelligence Approaches[J]. Journal of Mountain Science,2015,12(1):85-100. |
APA | Vahid NOURANI,&Gholamreza ANDALIB.(2015).Daily and Monthly Suspended Sediment Load Predictions Using Wavelet Based Artificial Intelligence Approaches.Journal of Mountain Science,12(1),85-100. |
MLA | Vahid NOURANI,et al."Daily and Monthly Suspended Sediment Load Predictions Using Wavelet Based Artificial Intelligence Approaches".Journal of Mountain Science 12.1(2015):85-100. |
入库方式: OAI收割
来源:成都山地灾害与环境研究所
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