Using the moving window incorporated neural network to forecast the population behavior of Nostocales spp. in the River Darling, Australia
文献类型：期刊论文
| 作者 | Hou, Guoxiang; Li, Hongbin; Recknagel, Friedrich; Song, Lirong |
| 刊名 | FRESENIUS ENVIRONMENTAL BULLETIN
 |
| 出版日期 | 2007 |
| 卷号 | 16期号:3页码:304-309 |
| 关键词 | nonstationary population behavior radial basis function neural network moving window |
| ISSN号 | 1018-4619 |
| 通讯作者 | Song, LR, Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China |
| 中文摘要 | The paper demonstrates the nonstationarity of algal population behaviors by analyzing the historical populations of Nostocales spp. in the River Darling, Australia. Freshwater ecosystems are more likely to be nonstationary, instead of stationary. Nonstationarity implies that only the near past behaviors could forecast the near future for the system. However, nonstionarity was not considered seriously in previous research efforts for modeling and predicting algal population behaviors. Therefore the moving window technique was incorporated with radial basis function neural network (RBFNN) approach to deal with nonstationarity when modeling and forecasting the population behaviors of Nostocales spp. in the River Darling. The results showed that the RBFNN model could predict the timing and magnitude of algal blooms of Nostocales spp. with high accuracy. Moreover, a combined model based on individual RBFNN models was implemented, which showed superiority over the individual RBFNN models. Hence, the combined model was recommended for the modeling and forecasting of the phytoplankton populations, especially for the forecasting. |
| 英文摘要 | The paper demonstrates the nonstationarity of algal population behaviors by analyzing the historical populations of Nostocales spp. in the River Darling, Australia. Freshwater ecosystems are more likely to be nonstationary, instead of stationary. Nonstationarity implies that only the near past behaviors could forecast the near future for the system. However, nonstionarity was not considered seriously in previous research efforts for modeling and predicting algal population behaviors. Therefore the moving window technique was incorporated with radial basis function neural network (RBFNN) approach to deal with nonstationarity when modeling and forecasting the population behaviors of Nostocales spp. in the River Darling. The results showed that the RBFNN model could predict the timing and magnitude of algal blooms of Nostocales spp. with high accuracy. Moreover, a combined model based on individual RBFNN models was implemented, which showed superiority over the individual RBFNN models. Hence, the combined model was recommended for the modeling and forecasting of the phytoplankton populations, especially for the forecasting. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 学科主题 | Environmental Sciences |
| 类目[WOS] | Environmental Sciences |
| 研究领域[WOS] | Environmental Sciences & Ecology |
| 关键词[WOS] | MODEL ; CYANOBACTERIA ; PREDICTION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000245364300016 |
| 公开日期 | 2010-10-13 |
| 源URL | [http://ir.ihb.ac.cn/handle/152342/8666]  |
| 专题 | 水生生物研究所_中科院水生所知识产出（2009年前）_期刊论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China 2.Huazhong Univ Sci & Technol, Dept Ocean Sci & Engn, Wuhan 430074, Peoples R China 3.Univ Adelaide, Sch Earth & Environm Sci, Adelaide, SA 5005, Australia |
| 推荐引用方式 GB/T 7714 | Hou, Guoxiang,Li, Hongbin,Recknagel, Friedrich,et al. Using the moving window incorporated neural network to forecast the population behavior of Nostocales spp. in the River Darling, Australia[J]. FRESENIUS ENVIRONMENTAL BULLETIN,2007,16(3):304-309. |
| APA | Hou, Guoxiang,Li, Hongbin,Recknagel, Friedrich,&Song, Lirong.(2007).Using the moving window incorporated neural network to forecast the population behavior of Nostocales spp. in the River Darling, Australia.FRESENIUS ENVIRONMENTAL BULLETIN,16(3),304-309. |
| MLA | Hou, Guoxiang,et al."Using the moving window incorporated neural network to forecast the population behavior of Nostocales spp. in the River Darling, Australia".FRESENIUS ENVIRONMENTAL BULLETIN 16.3(2007):304-309. |
入库方式： OAI收割
来源：水生生物研究所
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