Wavelet and adaptive neuro-fuzzy inference system conjunction model for groundwater level predicting in a coastal aquifer
文献类型：期刊论文
| 作者 | Wen, Xiaohu1; Feng, Qi1; Yu, Haijiao1; Wu, Jun2; Si, Jianhua1; Chang, Zongqiang1; Xi, Haiyang1 |
| 刊名 | Neural computing & applications
 |
| 出版日期 | 2015-07-01 |
| 卷号 | 26期号:5页码:1203-1215 |
| 关键词 | Discrete wavelet transform Adaptive neuro-fuzzy inference system Groundwater level Coastal aquifer Prediction |
| ISSN号 | 0941-0643 |
| DOI | 10.1007/s00521-014-1794-7 |
| 通讯作者 | Wen, xiaohu(xhwen@lzb.ac.cn) |
| 英文摘要 | Accurately predicting groundwater level (gwl) fluctuations is one of the most important issues for managing groundwater resources. in this study, the feasibility of predicting weekly gwl fluctuations in a coastal aquifer using the wavelet-adaptive neuro-fuzzy inference system (wanfis) was investigated. wanfis was a conjunction model that combined discrete wavelet transform and adaptive neuro-fuzzy inference system (anfis). gwl data of two wells located in the coastal aquifer of eastern laizhou bay, china, were used to establish wanfis model. the performances of wanfis model, along with anfis model, were assessed in terms of the following statistical indices, such as coefficient of correlation (r), root mean square error, and mean absolute relative error. compared with the best anfis models, the best wanfis model gave a better prediction. moreover, it was found that wavelet transform positively affected the anfis's predicting ability. in addition, the wanfis model was also found to be superior to the best ann model. this study indicated that wanfis model was preferable and could be applied successfully due to its high accuracy and reliability for predicting gwl. |
| 收录类别 | SCI |
| WOS关键词 | SUSPENDED SEDIMENT CONCENTRATION ; HYDROLOGICAL TIME-SERIES ; WATER-LEVEL ; NETWORK ; TRANSFORM |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Artificial Intelligence |
| 语种 | 英语 |
| WOS记录号 | WOS:000355765200016 |
| 出版者 | SPRINGER |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2555020 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Wen, Xiaohu |
| 作者单位 | 1.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China 2.Adv Environm Technol LLC, Ft Collins, CO 80525 USA |
| 推荐引用方式 GB/T 7714 | Wen, Xiaohu,Feng, Qi,Yu, Haijiao,et al. Wavelet and adaptive neuro-fuzzy inference system conjunction model for groundwater level predicting in a coastal aquifer[J]. Neural computing & applications,2015,26(5):1203-1215. |
| APA | Wen, Xiaohu.,Feng, Qi.,Yu, Haijiao.,Wu, Jun.,Si, Jianhua.,...&Xi, Haiyang.(2015).Wavelet and adaptive neuro-fuzzy inference system conjunction model for groundwater level predicting in a coastal aquifer.Neural computing & applications,26(5),1203-1215. |
| MLA | Wen, Xiaohu,et al."Wavelet and adaptive neuro-fuzzy inference system conjunction model for groundwater level predicting in a coastal aquifer".Neural computing & applications 26.5(2015):1203-1215. |
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来源：寒区旱区环境与工程研究所
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