| 模糊神经网络水文预报模型在洺河流域的应用 |
| |
| 引用本文： | 王树谦,杜岚,汪健,杜富慧.模糊神经网络水文预报模型在洺河流域的应用[J].水利水电技术,2014,45(7):18. |
| |
| 作者姓名： | 王树谦 杜岚 汪健 杜富慧 |
| |
| 作者单位： | （河北工程大学，河北邯郸056021） |
| |
| 摘 要： | 本文选取雨强距离指数(IPD)及其他有关参数等作为自适应神经模糊推理系统(ANFIS)水文预报模型的输入,提出雨强距离指数的定义及其目的和意义。为剖析雨强距离指数在水文预报模型中的应用,分别建立不包含雨强距离指数的模型A与包含该指数的模型B进行对比评价。结果表明,将雨强距离指数作为ANFIS水文预报模型的输入能够提高模型的预报精度。
|
| 关 键 词： | 雨强距离指数 自适应神经模糊推理系统 水文预报模型 洺河流域 |
| 收稿时间： | 2013-11-07 |
Application of based hydrological forecast model to Minghe River Catchment |
| |
| WANG Shuqian,DU Lan,WANG Jian,DU Fuhui.Application of based hydrological forecast model to Minghe River Catchment[J].Water Resources and Hydropower Engineering,2014,45(7):18. |
| |
| Authors: | WANG Shuqian DU Lan WANG Jian DU Fuhui |
| |
| Affiliation: | （Heibei University of Engineering， Handan056021， Hebei, China） |
| |
| Abstract: | IPD（Index of precipitation intensity and distance between rainfall station and outflow section）and the other relevant parameters are selected and taken as the inputs of the ANFIS（Adaptive Network-based Fuzzy Inference System）based hydrological forecast model， and then the definition of IPD and its objective and significance are put forward herein. In order to dissect the application of IPD to the hydrological forecast model， the model A without IPD and model B with IPD are respectively established for the comparison and evaluation concerned. The result shows that the forecasting accuracy of the ANFIS hydrological forecast model can be enhanced by taking IPD as the input of it. |
| |
| Keywords: | IPD ANFIS hydrological forecasting model Minghe River Catchment |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《水利水电技术》浏览原始摘要信息 |
|
点击此处可从《水利水电技术》下载全文 |
