| 改进的前馈型神经网络模型在承压水漏斗水位预报中的应用 |
| |
| 引用本文： | 吴蓉,周志芳.改进的前馈型神经网络模型在承压水漏斗水位预报中的应用[J].地质学刊,2002,26(1):19-21. |
| |
| 作者姓名： | 吴蓉 周志芳 |
| |
| 作者单位： | 河海大学土木工程学院 江苏南京210098
(吴蓉)，河海大学土木工程学院 江苏南京210098(周志芳) |
| |
| 摘 要： | 建立了以改进Powell法优化的前馈型神经网络模型，模型既具有强大的函数逼近功能，又克服了传统神经网络优化方法的缺点。将神经网络模型用于承压水漏斗的动态水位预报，实例表明：模型预报效果较好。
|
| 关 键 词： | 前馈型神经网络模型 水位预报 承压水漏斗 Powell法 |
| 文章编号： | 1003-6474(2002)01-0019-03 |
| 修稿时间： | 2001年12月10 |
Application of Modified Model of Feedforward Neural Network in Forecasting Confined Water Funnel Level |
| |
| WU Rong,ZHOU Zhi fang.Application of Modified Model of Feedforward Neural Network in Forecasting Confined Water Funnel Level[J].Jiangsu Geology,2002,26(1):19-21. |
| |
| Authors: | WU Rong ZHOU Zhi fang |
| |
| Abstract: | A feedforward neural network model optimized by the modified Powell method is established. The model is of strong function of approximation and capable of overcoming the disadvantages of conventional feedforward neural network optimization method. So, it is used to forecast the confined water funnel level. The case shows that the forecasting results of the model preferably. |
| |
| Keywords: | Water level Forecast Confined water funnel Powell method Neural network |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《地质学刊》浏览原始摘要信息 |
| 点击此处可从《地质学刊》下载免费的PDF全文 |
