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| 神经网络理论在河道洪水预报中的应用 | |
| 引用本文： | 王光生,苏佳林,沈必成,刘超.神经网络理论在河道洪水预报中的应用[J].水文,2009,29(5). |
| 作者姓名： | 王光生 苏佳林 沈必成 刘超 |
| 作者单位： | 1. 水利部水文局,北京,100053 2. 黑龙江省水文局,黑龙江,哈尔滨,150001 3. 北京市水文总站,北京,100089 |
| 摘 要： | 本文将神经网络用于松花江干流河道汇流计算和河道洪峰水位的预报.对各种转移函数的效果进行了比较,线性函数和双正切函的精度较好超过传统的马斯京根法,其中线性转移函数最好,说明对于大江大河线性转移函数最好.由上游断面洪峰水位预报下游断面洪峰水位也取得了良好的效果. |
| 关 键 词： | 水文预报 河道汇流计算 洪峰水位预报 神经网络 应用 |
Application of Neural Network in Channel Flow Forecasting |
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| WANG Guang-sheng,SU Jia-lin,SHEN Bi-cheng,LIU Chao.Application of Neural Network in Channel Flow Forecasting[J].Hydrology,2009,29(5). | |
| Authors: | WANG Guang-sheng SU Jia-lin SHEN Bi-cheng LIU Chao |
| Abstract: | The application of BP neural network in channel muting and flood peak stage predicting in the Songhuajiang River Basin was introduced,what this study focused on was the effect of different activation function and the comparing with tradition hydrological models.In the channel muting results,all the activation functions are perfect.among which results from hyperbolic function and linear function are better than the Muskingum model,the result of linear function is the best.In the flood peak stage prediction,good results were obtained from sigmoid and linear function. |
| Keywords: | hydrological forecasting channel routing flood peak stage prediction neural network application |
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